The full corpus — beyond today's front page.
312 results · page 13 of 13
Notes from the Asia-Pacific region: 2026 survey finds children's data, AI continue to top NZ privacy concerns IAPP
Who should care: General readers · AI governance · Policy
How countries are regulating AI companion chatbots to protect children IAPP
Who should care: Lawyers · Compliance · General readers · AI governance · Policy
AI such as Mythos Preview raises the urgency of cross-border flows of cybersecurity data IAPP
Who should care: General readers · AI governance · Policy
The European Union is integrating AI systems into healthcare, manufacturing, transportation, and agriculture, framing the initiative around the concept of 'trustworthy AI' as a means to strengthen economic competitiveness across member states.
Why this matters: Large-scale AI deployment across health and mobility sectors raises questions about data collection, algorithmic decision-making, and individual oversight — tests of whether the EU's trustworthy AI framework translates into meaningful protections in practice.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
Five steps to protect your organisation from AI-powered cyber threats Information Commissioner's Office
Who should care: General readers · AI governance · Policy
King's Speech signals diffuse UK digital policy agenda, but no AI bill IAPP
Who should care: General readers · AI governance · Policy
Two companies have jointly launched an automated AI governance package, targeting organizations seeking structured tools to manage compliance and oversight of artificial intelligence systems. The product appears aimed at streamlining governance workflows, though specific technical details and partner identities were not disclosed in the announcement.
Why this matters: Automated governance tools can embed accountability into AI pipelines, but they may also create a false sense of compliance while obscuring how personal data is actually processed — making independent human oversight and transparency to affected individuals equally critical.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
From privacy policies to machine-readable governance: Rethinking data control in the age of AI IAPP
Who should care: General readers · AI governance · Policy
A piece published through the IAPP argues that current AI governance discussions are taking place in forums or among stakeholders that exclude key voices, suggesting the existing deliberative spaces are misaligned with the breadth of interests at stake.
Why this matters: When AI governance is shaped without input from civil society, affected communities, or digital rights advocates, resulting frameworks risk prioritizing industry or institutional interests over individual privacy protections and civil liberties safeguards.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
Proposed amendments to Colorado's AI Act would shift the law's regulatory emphasis away from risk-based obligations for developers and deployers toward transparency and disclosure requirements, representing a notable recalibration of how the state approaches AI governance.
Why this matters: A transparency-first framework could give individuals clearer visibility into when and how automated systems affect decisions about them — though it may place less enforceable burden on companies to prevent harm before it occurs.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
Artificial intelligence platforms may be just as susceptible to social engineering as human beings, but they are proving remarkably good at finding security vulnerabilities in human-made computer code. That reality is on full display this month with some of the more widely-used software makers -- including Apple, Google, Microsoft, Mozilla and Oracle -- fixing near record volumes of security bugs, and/or quickening the tempo of their patch releases.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
Safe and Ethical AI: a big European idea for the world miriam Thu, 05/07/2026 - 16:04 Fri, 05/08/2026 - 12:00 On 9 May, Europeans celebrate Europe Day. Europe has continued to shape big ideas that unite people around shared values & fundamental rights. Our commitment to human-centric, transparent technology remains more important than ever. 1 Read the blog post
Who should care: General readers · AI governance · Policy
New guidance to support public authorities dealing with AI-generated FOI requests Information Commissioner's Office
Who should care: Lawyers · Compliance · General readers · AI governance · Policy
The UK's Trades Union Congress is calling for a ban on algorithm-driven dynamic pay on gig platforms like Uber, arguing the practice severs the link between effort and earnings, leaving workers with unpredictable income determined by opaque automated systems.
Why this matters: When consequential decisions about people's livelihoods are delegated to undisclosed algorithms, workers lose meaningful insight into — or recourse against — the logic controlling them, raising broader questions about algorithmic transparency and individuals' right to understand systems that govern their daily lives.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy · Privacy officers
Alarm caused by posts of Alex Karp, tech firm’s CEO, championing US military dominance and of AI weapons The US spy tech company Palantir published a manifesto extolling the benefits of American power and implying some cultures are inferior to others – in what MPs have called “a parody of a RoboCop film” and “the ramblings of a supervillain”. “Some cultures have produced vital advances; others remain dysfunctional and regressive,” wrote Palantir in a 22-point post on X over the weekend, which also called for an end to the “postwar neutering” of Germany and Japan. Continue reading...
Who should care: General readers · AI governance · Policy
Canada's Privacy Commissioner delivered remarks at the Victoria International Privacy and Security Summit addressing the intersection of privacy protection and AI governance, framing trust-building as central to responsible AI development under Canadian law.
Why this matters: Regulatory positioning by a national privacy authority signals how AI oversight may evolve, with direct implications for individuals' data rights and whether algorithmic systems will face meaningful accountability — or remain largely self-governed by industry.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
The UK's Algorithmic Transparency Recording Standard (ATRS) requires government bodies to publicly document how algorithmic tools are used in public-sector decision-making, aiming to improve accountability and build public trust in state AI deployments.
Why this matters: Mandatory disclosure of how government algorithms operate gives individuals meaningful insight into automated decisions that may affect their benefits, policing, or services — a baseline safeguard against opaque state power that civil liberties advocates have long sought.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy · Privacy officers
The UK's Information Commissioner's Office has issued guidance acknowledging that automated decision-making tools can legitimately be used in hiring, provided appropriate safeguards are implemented by employers.
Why this matters: Automated hiring systems can embed bias and deny individuals meaningful human review of consequential decisions about their livelihoods — making robust safeguards, transparency requirements, and the right to contest outcomes essential protections for job seekers.
Who should care: AI governance · Lawyers · Administrators · General readers · Privacy officers · Policy
An OECD analysis argues that meaningful participation in AI governance requires more than one-time consultation, calling instead for community authority and structured oversight spanning an AI system's full lifecycle — from design through deployment and decommissioning.
Why this matters: Without sustained stakeholder involvement, affected communities — including those most vulnerable to algorithmic harm or surveillance — have little recourse once systems are live, leaving rights protections dependent on developer goodwill rather than accountable governance structures.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
Awarding US spy-tech company deal involving sensitive financial data is ‘huge error of judgment’, Liberal Democrats say MPs have urged the government to halt its latest contract with Palantir after the Guardian revealed that the US spy-tech company is to gain access to a trove of highly sensitive UK financial regulation data. The Financial Conduct Authority, the watchdog for thousands of financial bodies from banks to hedge funds, has hired Palantir to apply its AI systems to two years’ worth of internal intelligence data to help it tackle financial crime. Continue reading...
Who should care: Lawyers · Compliance · General readers · AI governance · Policy
The OECD has published analysis on AI regulatory sandboxes, examining how controlled testing environments can allow governments and developers to experiment with AI systems under regulatory supervision while managing risk and building compliance frameworks.
Why this matters: How sandboxes are designed determines whether they meaningfully protect individuals from harmful AI deployments or primarily shield developers from accountability — the governance structures governing data use and oversight during testing periods carry real civil liberties implications.
Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · Policy
Community colleges are spending millions on AI-powered chatbots that students say often give inaccurate answers. Many might see upgrades this year.
Who should care: General readers · AI governance · Policy
The OECD is examining how to establish a shared conceptual framework for agentic AI systems — LLM-based agents capable of operating autonomously across physical and digital environments. As these systems grow more capable and attract broader investment, clearer definitional boundaries are seen as increasingly necessary.
Why this matters: Without agreed definitions, meaningful oversight of autonomous AI systems remains difficult to implement or enforce — leaving gaps that affect individual rights, accountability, and the ability to challenge automated decisions that may affect people's lives.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
The OECD has extended to March 20 its open call for governments worldwide to submit AI use cases, policy frameworks, and deployment tools, with the goal of building a shared resource on trustworthy AI adoption in public administration.
Why this matters: How governments deploy AI internally shapes everything from benefits eligibility to law enforcement decisions. The submissions collected here could set influential benchmarks — for better or worse — on transparency, accountability, and the rights of individuals subject to automated government processes.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy