Digital Policy Hub

Canada’s communications policy governs how information is distributed, but not how artificial intelligence interprets and frames it. Existing and proposed regulation does not close this gap, while the infrastructure and knowledge sources behind leading large language models remain largely outside Canadian control. Canada should treat this interpretive function as a communications policy issue by investing in Canadian knowledge infrastructure, independent auditing and greater transparency.

Nigeria has earmarked natural gas as a transition fuel to build capacity in its energy sector while pursuing its 2060 decarbonization agenda. This paper argues that the country must govern the oil sector’s approach to natural gas utilization responsibly. A significant obstacle to the effective regulation of the resource is the persistent practice of routine gas flaring and venting.

Canada’s new National Artificial Intelligence (AI) Strategy aims to help educational stakeholders develop skills to navigate a complex digital landscape but mainly views AI literacy as a technical and productivity skill. To improve, the strategy should incorporate a framework for critical AI literacy, supported by international examples that underscore the importance of understanding and critically evaluating AI tools and systems.

When harms occur from the use of artificial intelligence or social media, the companies that produce these tools should be held accountable. This Digital Policy Hub working paper suggests that Haudenosaunee legal processes that focus on rebuilding and maintaining relationships can help shape the regulations that govern these companies.

This working paper summarizes the potential costs and benefits of a unified ledger for Canada while necessarily simplifying the complexity of transforming financial market infrastructure.

Other nations have much to learn from Ukraine’s approach to digital transformation. Often considered an optional initiative or a side project for times of plenty, continuous and ongoing investment in building the habits and skills of digital transformation pays dividends in both peacetime and wartime.

Recent advances in artificial intelligence, such as the widespread commercialization of large language models, have spurred two sets of related but distinct socio-technical imaginaries: that for a state to compete globally, it needs to be a leader in AI and that AI needs an unlimited energy source. This latter set of sociotechnical imaginaries is often framed as infinite, inevitable and natural. However, it masks an imperialist drive rooted in uncritical technological determinism, often at the expense of the environment.

The artificial intelligence (AI) challenge for Canada’s small and medium-sized enterprises (SMEs) is no longer adoption; it is integration. SMEs are already using generative AI and achieving immediate gains in productivity and task efficiency, but these gains remain confined to isolated tasks and tend to break down when firms attempt to extend them across workflows, responsibilities and decisions.

Women make up half of all gamers yet 58 percent report experiencing toxicity annually, a figure unchanged despite a decade of industry investment in content moderation. The European Union and United Kingdom have developed accountability frameworks that address algorithmic risk and bring gaming platforms within regulatory scope. That model has yet to be adopted more broadly in Canada, leaving a significant gap in platform accountability for gendered harm in gaming.

Increasingly sophisticated online disinformation campaigns, engineered by Russia’s Wagner Group in the late 2010s and now enhanced by artificial intelligence, are targeting Africa’s people in an attempt to sway public opinion — portraying foreign mercenaries as the solution to the continent’s problems.

Artificial intelligence is intensifying great power competition across economic, technological and security domains. Semiconductor supply chains have emerged as a central arena of this rivalry. Taiwan’s experience illustrates the resulting dilemma for middle powers, as technological indispensability generates leverage, but dependence across multiple structural domains limits strategic autonomy.

Canada’s failed Artificial Intelligence and Data Act underscores the need to incorporate civic-technology processes to enhance democratic legitimacy.

AI companions produce harms that arise from the socioaffective dynamics of human-AI relationships. They draw on dynamics familiar from social media, but they are structurally distinct from the content harms that past online safety frameworks were built to address. Bill C-34 encodes the right safety-by-design approach but defers much of its operational content.

The growing role of data in the digital economy is rapidly outpacing existing regulations, making it difficult for states to implement and evaluate their own policies.

Intellectual property theft is a growing concern in the digital economy, posing a national security threat and making traceability even more critical.

The absence of operational governance frameworks — which specify accountability structures, pre-deployment requirements and institutional responsibility for system behaviour — remains the primary obstacle to defensible adoption of open-weight artificial intelligence foundation models. African public institutions face this challenge under conditions of uneven institutional capacity and significant infrastructure gaps.

Many school boards in Ontario, Canada, are still developing policies for responsible AI use. Most of those that do exist offer limited guidance on appropriate generative AI use for stakeholders and should be updated to align with principles of critical media literacy.

This working paper investigates how digital technologies and new market dynamics are bypassing traditional defence intermediaries, examining the shift from research and development lead by legacy defence contractors to smaller, agile firms and non-traditional players leveraging emerging technologies, and how tangled national defence value chains are being challenged micro-production. The paper argues that the defence industry is at a moment of sea change in the digital revolution, and yet the defence procurement system is still designed around the assumptions of a defence supply ecosystem that is long past.

A renewed global arms race is accelerating private-sector innovation in lethal autonomous weapons systems (LAWS). At the same time, rising geopolitical tensions, migration pressures and ecological disruption are heightening concerns over national sovereignty. One potential outcome is the use of LAWS for border enforcement, creating scenarios in which people may be wrongly targeted and exposed to potentially deadly force in the name of national security.

LLM-generated text reflects the conceptual priorities of the language it was trained on, meaning multilingualism is a structural question when LLMs influence data flows. The 2003 United Nations Educational Scientific and Cultural Organization recommendations on access to cyberspace declare digital multilingualism as essential to information rights. Upholding these norms today requires that linguistic diversity, and the underlying geometries of knowledge held in language, shape the AI outputs that contribute to contents of the internet.

Trade secret protection in Nigeria is based on common law and administered through the judicial system. There have been calls for stronger protections, including making trade secret theft a crime. The trend toward tightening intellectual property regimes to mirror those of developed countries could limit innovation, technology transfer and the sharing of knowledge.

Canada’s public square runs on US-centric platforms that Canadians do not govern and cannot easily exit. Regulation cannot fix this dependence while infrastructure remains foreign-owned. This working paper argues that Canada should treat interoperable, open-source social media as digital public infrastructure supporting public communication and local governance.

AI risks are global in nature, and international governance has been slow to respond. An agile standards-setting framework is necessary for international actors to realize and share global benefits, mitigate global risks and ensure inclusive decision making for advanced AI.

Digital sovereignty is now at the top of the list for many liberal democratic states, a spot once occupied by policies of openness and global connectivity. Decoupling from the United States comes with challenges from the overly broad definition of digital sovereignty.

Canada’s focus on broadband expansion to address the digital divide across the country leaves it vulnerable to disruptive technologies like 5G and AI. A stronger emphasis is needed on developing digital skills and literacy for all Canadians.

Decentralized social media platforms offer community-governed, interoperable alternatives to centralized social media, but current governance in Canada is not adequately fostering community-run platforms and long-term investment in Canadian digital infrastructure.

AI is revolutionizing cross-linguistic dialogue, with LLM-powered technology becoming a given in professional settings, and with cross-linguistic communication being a cornerstone of international cooperation, understanding the limits of LLMs is especially relevant to institutions that rely on translation and host political dialogue.

AI adoption among minority-led small and medium-sized enterprises (SMEs) is hindered by the size and resources available to these smaller businesses. A “making-do” approach has proven to have its pros and cons; rather than imposing regulations that stifle innovation for SMEs, the approach should encourage context-specific innovation and reduce governance risks for SMEs.

AI companions are chatbots that foster emotional relationships with their users, and they’re becoming increasingly common. But they’re producing predictable harms, incentivized by businesses optimizing for engagement over well-being of their users.

Data has revolutionized the global economy. It’s intangible, it’s worldwide, and it’s got to be regulated. But it can’t be approached like every other form of trade.

AI data centres are becoming truly critical infrastructure, and because they require so much energy, Canada is well positioned to be a competitive player in the AI investment race with its capacity for clean, renewable energy. But can Canada coordinate enough to make it happen sustainably?

Canada’s proposed Artificial Intelligence and Data Act (AIDA) was built upon a fundamental lack of democratic input. By giving far more credence to expert-only input, Canada’s Artificial Intelligence and Data Act was constructed on sand from the start.

Previous notions of media literacy are no longer sufficient in today’s media landscape. Critical media literacy, which requires consideration of the socio-political systems and structures that shape personal interactions with media, is the necessary next step up from basic media literacy proficiency.

Platform governance is getting something fundamentally wrong; its focus on simply removing harmful misogynistic content from individual platforms misunderstands how extremist communities operate online. Instead, governance requires policy frameworks that operate at the ecosystem level.

Current African AI strategies aren’t incorporating African priorities as much as they should, and it’s resulting in African states remaining dependent on foreign AI infrastructure. But it doesn’t have to be this way.

The United States and China are some of the world’s greatest player in training frontier AI today, and they’re in no rush to share their secrets with one another, even if it could mean the benefits of AI are expanded for all. Small and middle powers have a key role to play in advancing these benefit-sharing agreements.

Canada is at risk of relinquishing monetary sovereignty if it allows stablecoins to be pegged to the US dollar. As stablecoin transactions become more common, if the platforms that Canadians adopt use stablecoins pegged to the US dollar, monetary sovereignty could be forfeit. Canadian policy makers need to act now.

The pay-as-you-go (PAYG) model is effective in alleviating the upfront costs of solar energy in Nigeria, but it’s being held back by inflexible governance. Greater regulatory flexibility will be needed to address this bottleneck.

The Haudenosaunee Confederacy offers key constitutional principles of Righteousness, Power and Peace that Canada must take note of in order to strengthen digital sovereignty, informing how to bridge policy gaps in the Digital Charter Implementation Act (DCIA).

Since the Canadian government tabled Bill C-2, the Strong Borders Act, in June 2025, the bill has raised concerns about providing law enforcement and intelligence agencies with greater surveillance powers through lawful access to data.

Hate crimes are difficult to prosecute in Canada despite legal tools designed to address them in the Criminal Code. Prosecutorial challenges include high legal standards for proving these crimes were motivated by bias, prejudice or hate, and inconsistent application of aggravating sentencing provisions.

Relying on a qualitative analysis focused on publicly available documents, this study reveals that Canada aligns economic and national security goals through collaborative narratives with implications for its future economic and defence partnerships, and recommends operationalizing this approach to strengthen value-driven governance.

The current global and national AI governance model has left institutional and epistemic gaps. This working paper argues that religion has a unique advantage in guiding AI ethical governance.

Canada’s current regulatory framework classifies stablecoins as securities, which is fundamentally misaligned with their function as payment instruments. This approach stifles domestic innovation and leaves Canada’s monetary sovereignty vulnerable to the rapid global growth of foreign digital currencies.

Ukraine demonstrates that artificial intelligence can simultaneously defend and amplify democratic narratives.

The study discussed in this working paper explored the perspectives of 13 public health professionals and researchers working across Canadian universities, regional and national public health agencies, professional associations, knowledge translation hubs and international governance bodies to examine their understanding, perceptions and governance needs related to generative artificial intelligence in public health.

By combining commons-based governance with feminist principles, this working paper outlines the need for an approach to governing urban digital resources according to principles of justice and equity.

Emerging research demonstrates that existing artificial intelligence (AI) pre-deployment safety evaluations frequently underestimate models’ potential for causing harm. Due to the inherent unreliability of many of these assessment tools, they should be used cautiously by policy makers and should not serve as a primary risk management strategy for AI governance frameworks.

Several legal instruments protect space from unlawful activities. These include the Outer Space Treaty and the United Nations Declaration of the Rights of Indigenous Peoples. This working paper argues that Indigenous perspectives must be respected to ensure that space exploration, especially commercial and state activities, are sustainable and follow international law.

For decades, Canada and the United States have pursued a policy of intensifying border integration through reciprocal information and intelligence sharing, as well as recognizing each other as safe jurisdictions for asylum seekers and requiring people to claim asylum in the first country of arrival. Since Donald Trump’s second term began, the mutual trust and shared commitment to upholding the rule of law that has underpinned these collaborations has eroded. In formulating a response, Canadian lawmakers must contend with a paradox of integration.

In the midst of systemic challenges and rapidly advancing software development technologies, governments may find value in increasing data disclosure policies and launching in-house digital infrastructure projects targeted at making data access more equitable. An example of consumer-empowering digital infrastructure is a price comparison website; this technology allows consumers to compare a range of competitors’ products with a uniquely designed search engine, thus simplifying the purchase decision process.

The emergence of banking as a service models is significantly transforming Canada’s financial ecosystem by unbundling traditional banking, enabling technology companies to deliver financial products while regulated institutions maintain balance sheets and licences. Policy solutions must balance innovation with stability through standardized disclosures, joint liability mechanisms, and a shift to functional regulation that focuses on activities rather than entities.

Emerging and transformative technologies are often characterized as “wicked problems” due to the uncertainties surrounding their development and deployment and are thus considered ungovernable, especially in the policy realm. Complex technologies, such as electric vehicle batteries, artificial intelligence and cryptocurrencies, often fall into this category. This working paper examines other frameworks for understanding the governance challenges of these technologies and their solutions.

Canada primarily relies on police-reported data through the Uniform Crime Reporting Survey, which may under-represent the true extent of hate-motivated incidents. Under-reporting remains a critical barrier to effective data collection, influenced by factors such as fear of retaliation, lack of trust in law enforcement, cultural and language barriers, and uncertainty about legal outcomes. Digital and technological innovations offer promising tools to enhance hate crime data systems.

This working paper aims to answer two key questions: How can public-private partnership models be adapted to address the challenges of rapid technological convergence in defence research and development; and what institutional changes are necessary to ensure that innovation remains both cutting edge and ethically governed?

Organizational generative artificial intelligence policies relevant to Canadian public health are limited in number and scope. This policy scan includes 14 policies across various levels of the public health system, and includes guidance documents, codes of conduct and legislation.

Most artificial intelligence (AI) governance guidance in Canada focuses on high-level, principle-based approaches, emphasizing “responsible,” “safe” and “ethical” AI. However, these approaches leave governance gaps in many sectors, including housing. As the second part of a two-part working paper series, this paper offers five policy recommendations to close this gap and mitigate AI-related harm in housing.

Systemic sexual violence in the Canadian Armed Forces (CAF) is rooted in a deeply entrenched and continuously reinforced organizational culture of gendered power structures, hypersexualization and extreme pressures for conformity. Despite a decade of formal data collection on sexual misconduct, the CAF today cannot accurately determine its prevalence and associated trends or the effectiveness of prevention initiatives.

Russia emerges as the most active foreign meddler in US elections, deploying artificial intelligence (AI)-driven disinformation campaigns at scale. The rise of generative AI has shifted the disinformation battlefield from primarily influencing human audiences to deliberately “grooming” large language models.

With the expansion of BRICS+ in January 2024, the bloc has been increasingly depicted as a rapidly growing counterweight to the G7 by politicians and academics alike and is often projected to overtake the G7 by 2050. This paper provides its own prediction of both groups’ future growth trajectories, and concludes that while the robust growth of BRICS+ is likely to continue, it will not be as substantial as many experts forecast.

Standardizing AI disclosures requires integrating industry-specific metrics that reflect AI’s unique operational and ethical challenges. Enhancing disclosure frameworks to include AI-specific metrics and transparency measures would improve corporate accountability and stakeholder trust.

This paper brings a comparative lens to the study of innovation policy and venture capital (VC) in the case of two innovation leaders — the Republic of Korea and Sweden — and Canada, a country with a more challenging history on the innovation front.

Each new release of large language models (LLMs) often comes with claims of both improved performance and enhanced safety. However, there is a lack of standardized safety assessments and a gap in studying these metrics over time. This working paper aims to address this gap by analyzing performance on various standardized safety benchmarks across various LLMs released in the last three years to gauge if they are becoming safer.

The United States and China are innovating stronger military technologies through civil-military fusion. Both states are leveraging converging technologies such as semiconductors and artificial intelligence to strengthen their weapons.

Growing interest in Africa’s digital transformation is being driven by the continent’s youth bulge, its potential as a partner trading on an equal footing and its role in tech geopolitical rivalries. Regional approaches to data governance help enhance interoperability and harmonization of national data regulations, providing African states with more leverage and market share in the digital economy.

There is a pressing need for further research on how cyberwarfare will shape states’ incentives to buy in to international AI coordination regimes. Research in this vein should seek to identify and leverage cybersecurity vulnerabilities that could be used to increase the effectiveness of international coordination efforts.

The rise of digital platforms has transformed communication but also enabled the spread of hate speech and divisive content. Algorithms optimized for engagement have created feedback loops that reinforce polarizing behaviours and narratives, highlighting the tension between user engagement and harm reduction.

Regulating digital technologies is a delicate balancing act of protecting personal data and privacy rights without stifling innovation. This working paper looks at how Sweden and Korea are managing these digital governance challenges and what Canada can learn from these innovation leaders.

Organizations and governments are increasingly using data and artificial intelligence in homelessness management, housing allocation and real estate markets to improve resource matching, predict trends and optimize housing support. These technologies pose serious concerns around privacy, discrimination and bias.

Public health plays an important role in the broader health system by promoting and protecting citizens’ health, often under challenging circumstances, including declining trust, limited resources and complex information ecosystems. Generative artificial intelligence offers potential opportunities for public health to tailor health information to diverse populations at scale, a current challenge of public health programs and service delivery.

This working paper utilizes a feminist policy analysis framework centred around five thematic areas — intersectionality, context, neutrality, control and power — to analyze global initiatives for AI safety governance.

This working paper explores how US-based big tech corporations use their corporate venture capitalist arms to heavily influence the development of emerging technologies by shaping which innovations receive funding.

Temporary foreign workers (TFWs) have been coming to Canada for nearly six decades to do work foundational to the country’s economy. Today, as political sentiments shift to the disapproval of TFWs, it is imperative that the language used to describe them and their work remains respectful.

In Canada, the potential of financial technology to enhance accessibility, diversify offerings and bring new competition to its oligopolistic banking sector is still in its early stages. Consumer adoption of financial technology (fintech) products and services remains relatively low compared with other advanced economies, despite a generally positive perception of fintech services among consumers. New participants in the banking sector offer innovative, competitively priced services, but they face significant barriers.

Outer space resources are available to all, but their supply is limited. As lunar activity and competition for resources increase, so does the need for lunar resource governance. Canada’s extensive experience in the mining sector can help guide a better approach to governing space resources.

Since its formation in 2003, the Canada Border Services Agency (CBSA) has been the only major federal law enforcement organization in the country without an arms-length watchdog agency. The recent passage of the Public Complaints and Review Commission Act addresses this gap in accountability by extending the oversight model of the Royal Canadian Mounted Police to the CBSA.

Countries pursuing liberal internationalist norms can engage with international institutions to promote their interests through norm entrepreneurship. With its established research community in the domain of quantum science and technology (S&T) and a seat at the table in many international institutions, Canada has an opportunity to promote norms of responsible use and international equality in the domains of quantum S&T.

China has been exporting digital cultural products that function as non-state actors, including video games such as Black Myth: Wukong, which incorporates Chinese localized narratives, mythologies and traditional cultures. Through an examination of China’s digital soft power and the underlying tensions between grassroots counter-narratives and state-driven propaganda, this paper attempts to address gaps in Canada’s digital governance related to the Indo-Pacific Strategy.

It is crucial to have an agile model of AI governance anchored in risk-based, rights-based and rules-based principles. Proposed solutions include a universal AI convention enforced by a High Commission for AI and Human Rights, an Intergovernmental Panel on Climate Change-like panel for rigorous research and policy guidance and a global research consortium inspired by the European Organization for Nuclear Research to ensure inclusive, transparent AI development and equitable benefit sharing.

The Canadian Armed Forces is not able to accurately quantify the rate of sexual misconduct in the organization, nor the trends associated with it, despite several cycles of institutional reform in recent decades. Data fragmentation, poor data management, data not fit for purpose and a lack of accountability have obscured organizational knowledge on sexual misconduct, contributing to the “policy graveyard” phenomenon seen in recent attempts for military reform.

Civil society organizations should play a larger role in the artificial intelligence (AI) policy-making process because they offer valuable insights into the societal and ethical implications of AI. These organizations can be empowered by enacting various institutional changes, specifically by connecting them with AI governance bodies such as the Advisory Council on AI, the Office of the AI and Data Commissioner and the AI Safety Institute.

The 2024 US elections underscored Russia’s continued role as an aggressive foreign actor interfering in US democratic processes. Russia employed sophisticated disinformation strategies to influence public discourse and election outcomes. Machine learning analysis of Russian propaganda revealed several key narratives present in the election discourse.

Digital technologies play a crucial role in modern urban life, as digitization levels continue to increase globally. Although quantum-enhanced intelligent transportation systems have the potential to accelerate the efficiency of smart cities, they also come with risks and governance challenges.

In the intensifying global race for advantage in artificial intelligence (AI), Canada, despite its long and illustrious history this area, is beginning to lose its competitive edge. AI policy priorities need to be tightened and focused, if Canada is to have more enduring comparative advantage.

North American nations are expanding the digitalization and incorporation of artificial intelligence at and around their borders amid record numbers of displaced people worldwide. A delicate balance is essential for policy makers, as they conduct cost-benefit analyses of employing sophisticated border technologies, to ensure that internationally protected human rights are upheld, while prioritizing state security and public safety.

Data access and exchange offers benefits but also brings to the fore concerns about privacy rights, ethical implications and the effectiveness of existing regulatory frameworks.

The Fourth Industrial Revolution, or Industry 4.0, is introducing rapid technological advancements that will fundamentally alter wealth distribution, labour automation and the creation or reinforcement of monopolies. While it is not as internationally prominent as those of other Industry 4.0 leaders, Canada is making significant advancements to improve and develop its advanced manufacturing industry, which has the potential to actively participate in developing critical Industry 4.0 technologies and processes.

Information sovereignty exists when people are part of a healthy and culturally appropriate information ecosystem, in which quality and diverse information is available, accessible and stable and it is collected, stored, managed and disseminated with ethics, meeting peoples’ information needs and preferences for an open, inclusive and plural public sphere.

The Artificial Intelligence and Data Act (AIDA), one part of the Digital Charter Implementation Act or Bill C-27, aims to regulate the development and use of artificial intelligence systems by companies operating in Canada. Another part of the bill, the Consumer Privacy Protection Act (CPPA), aims to regulate the collection and use of Canadians’ personal information by these companies. Both AIDA and the CPPA can be modified to better reflect the interests, and satisfy the demands, of non-governmental actors.

Australia, Canada, Ireland, the Netherlands and the United Kingdom have all devised digital regulators forums. These forums increase regulators’ capacity for evolving digital regulations by bringing competition, privacy and communications regulators together to share insights, data and policy approaches toward the regulation of online platforms. The emergence of digital regulators forums can allow for comprehensive digital policy; however, with these forums in early stages, there are questions as to how they will achieve this comprehension.

Artificial intelligence (AI) risk in the research sector will require international governance to ensure the preservation of an independent and reliable global research sector. While many types of governance and safety tools will be necessary, the use of international standardization would be a useful initial phase that could allow for rapid and inclusive governance on which other frameworks could build. International standardization for AI implementation in research institutions could help to build global consensus on preserving and protecting research institutions and their information from AI risk and could help to support other efforts at global AI governance outside of the sector.

Canada has recognized the importance of the next generation of quantum technologies for a variety of applications; however, Canada’s level of public investment remains somewhat modest compared to other leading nations. Increased public investment in quantum science and technology can help secure Canada’s position within its alliance politics, not only because general investment will alleviate allies’ concerns about budgetary allocations, but also because specific quantum technologies are poised to address the unique challenges facing Canada’s key alliances.

Generative AI can be applied in various agricultural extension and advisory services, including farm mechanization, food processing, water management, crop monitoring and livestock management. Most training data sets contain copyrighted works, raising legal questions about their use, especially in agricultural extension services, where training data includes copyrighted images of soil, climate and plant conditions.

Countering climate disinformation requires a multi-faceted approach that includes global information sharing and collaboration, capacity building and technical assistance, regulatory measures and legal frameworks, engagement with technology platforms, and support for independent journalism and public awareness campaigns.

This working paper explores the intricate factors affecting the adoption and diffusion of satellite internet technologies in Sub-Saharan Africa, specifically in Kenya. With a digital divide focus, this paper seeks to understand why rural Kenyans, who constitute 75 per cent of the population, prefer older, less cost-effective broadband technologies over newer, more affordable satellite internet options.

This working paper demonstrates how the Gig Economies Living Lab (GELL) model can be applied as a framework to conduct policy research through a critical feminist approach that centres the micro-level everyday experiences of workers in the gig economy. The author examines the intersection of technology with individuals’ daily work and life practices in relation to their bodies and emotions.

When it comes to central bank digital currencies (CBDCs), this working paper offers a novel perspective by shifting focus from central banks to the crucial role played by governments. It explores the democratic governance required to make an informed decision on whether to issue a CBDC and, if one is to be issued, how to develop and implement it responsibly.

This working paper is the second in a series that looks at how a Gig Economies Living Lab could serve as a collaborative research hub to study the emerging digital economy based on the experiences of gig workers.

This working paper explores what the digital Canadian dollar project can learn from the digital euro and digital pound to cultivate a more user-focused approach, while remaining neutral on the question of its necessity.

Korea and Sweden have shown significant progress in adopting digital technologies as well as in reckoning with the challenges that digitalization brings. In the case of Canada, while progress has been made in some domains, governance of digitalization has been characterized by more jagged priority setting. Overall, there is a distinct lack of policy durability and targeted focus on digital priorities. As Canada confronts digital transformation, there are policy lessons it can learn from the Korean and Swedish experiences.

Expanding climate-smart agriculture relies on deploying artificial intelligence- (AI-) driven digital technologies, such as big data, machine learning and deep learning. Farmers are concerned about sharing their data because they fear it may be mishandled by untrustworthy parties and used against them, particularly as they typically encounter two primary legal challenges in AI-enabled climate-smart agriculture: data ownership and privacy.

Existing governance structures for data and information in Canada-based research institutions are varied and often overlapping. The sector requires binding standards for machine learning/artificial intelligence (ML/AI) deployment, alongside broad strategic planning, the promotion of safe experimentation with ML/AI tools and the development of frameworks for institutions to mobilize and exchange their data.

The current recognized international standards on the right to information must be expanded to include other crucial dimensions beyond accessibility, such as availability, quality, stability, ethics, cultural appropriateness, agency and usability.

Current quantum strategy in Canada does not consider gender-related issues in a robust manner, often promoting inclusive workspaces as a means to fill high-demand roles.

Artificial intelligence (AI) is quickly becoming the weapon of choice in military conflicts. Despite the advantages of AI-based military applications, such as enhanced data analysis and decision making, the risks are substantial, compounded by the lack of laws governing their use.

Climate change is a particularly acute issue for Africa, as the continent’s already fragile environment has been severely impacted. Climate disinformation is an existential risk for many on the continent: misinformation can decrease support for effective mitigation policies and also significantly limit effective adaptation measures.

Decentralized autonomous organizations provide a modern and promising substitute for the conventional Village Savings and Loan Association model by integrating blockchain and smart contract innovation, thereby allowing community-based finance and governance in developing economies in the Global South to be scaled up.

The fast-paced integration of large language models into societal facets such as finance and security introduces a new set of complex ethical, legal and rights challenges, emphasizing the need for a unified international governance framework for artificial intelligence (AI). Such a framework underscores the call for a universal convention protecting humanity’s most fundamental rights and values against unethical and unsafe AI systems.

The dominance of foreign entities in African digital infrastructure and data control threatens national sovereignty and perpetuates inequalities, with African data often exploited by foreign corporations, echoing colonial resource exploitation patterns.

The world of higher education is being transformed by generative artificial intelligence (AI), as instructors, researchers and students begin using this technology for various purposes. If used ethically and responsibly, this technology can enhance teaching, research and learning practices. If used recklessly and unscrupulously, however, it can undermine academic integrity and produce negative educational outcomes.

This working paper delves into strategies to mitigate the negative impacts of deepfakes while simultaneously highlighting the measures that various actors, including states, social media platforms and tech companies, are taking to tackle this issue.

This working paper uses open-source reporting from organizations that experienced cyberattacks, government agency reporting and quantitative analysis using eSentire’s internal data set on cyberattacks detected and responded to in customer environments in North America. This data set demonstrates the value of managed detection and response firms and how they have helped to reduce the cost of cyberattacks to North American organizations by preventing attacks before they have serious financial consequences.

The nascent digital economy in Africa presents both opportunities for indigenous innovation and development as well as challenges that have the potential to worsen expected gains. This working paper gives an overview of the critical challenges and opportunities for developing sustainable data governance frameworks in the region.

Against the backdrop of a more regulated internet and enhanced digitalization, the United Nations is proposing both a Global Digital Compact and a Digital Cooperation Forum ahead of the Summit of the Future. These have the potential to upend much multi-stakeholder internet governance work, shifting how the internet has been governed since its public release in the 1990s.

Big tech corporations play a significant role in developing and maintaining emerging technologies, such as Web3 and metaversal tech, by providing cloud infrastructure services that enable developers to create and deploy these technologies. Effective regulation requires analyzing the behaviour of entities controlling emerging tech, particularly their political andeconomic motives.

With increasing investments in Canada’s artificial intelligence (AI) computing capacity, little attention has been paid to the growing environmental harms that emerge from scaled-up AI developments. To address those harms, this working paper proposes including environmental impact assessments and corresponding limitations on environmentally degrading developments.

Foreign interference is a growing threat, and elections in democratic states are particularly at risk. China has been implicated in various covert political operations targeting the Chinese diaspora in Canada, using platforms such as WeChat and TikTok to influence federal elections.

Kenya’s digital divide is driven by infrastructure issues, high costs, digital illiteracy and cultural norms. Progressive policies should encourage equitable access by lowering taxes and tariffs.

The goal of this paper is to present an intuitive summary of computational learning theory, and its application for analyzing the most popular learning algorithms in machine learning, neural networks.

Despite the adoption of various patent-based mechanisms, the inadequacy of patent systems in incentivizing green technology is well documented and persists. A potential solution to capture more positive externalities associated with green technologies involves the implementation of a patent prize system, also known as a “patent reward.”

While significant research has focused on the economic and technological aspects of central bank digital currency, the governance perspective has not received enough consideration.

Technology-facilitated gender-based violence (TFGBV) is a pervasive aspect of digital societies and requires urgent and innovative solutions, which include the adoption of smart regulations. The EU Digital Services Act is a recent example; however, challenges that may jeopardize its potential for success in addressing TFGBV must be addressed.

Climate change is the quintessential global challenge, while also perhaps the issue that has experienced the most polarization in recent years. New policies and approaches for policy development and implementation will be required to match the alacrity of the proliferating online flows of misinformation and disinformation.

An institutional framework for global artificial intelligence (AI) governance should incorporate lessons from international organizations to guide AI’s ethical development and deployment within and beyond national borders.

This paper presents the proposition for a gig economies living lab model that potentially serves as a hub and space for multi -stakeholder research, data gathering, cooperation, engagement and innovation.

With the surge in generative artificial intelligence (AI) models, voice cloning bots are rapidly surfacing, allowing users to replicate the voice of any artist or celebrity of their choice. This working paper deciphers the use of AI in creative fields and provides some recommendations on policy developments.

Research institutions, for example, research libraries, archives and universities, are an essential part of society that are at high risk for artificial intelligence (AI) adoption within basic systems such as search and cataloguing functions. This working paper surveys existing policies for AI in universities, ethical frameworks for library and archive associations, and existing international and national policies that are relevant to helping to construct a policy framework based on existing norms, practices and values.

Large language models through generative artificial intelligence (AI) offer a unique opportunity to bridge linguistic gaps for international students, assisting non-native English speakers while minimizing universities’ costs. This paper also explores the ethical considerations of their usage and suggests a university policy framework for responsible generative AI use in academic settings.