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Artificial Intelligence

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Artificial intelligence is a broad term used to describe an engineered system where machines learn from experience, adjusting to new inputs, and potentially performing tasks previously done by humans. More specifically, it is a field of computer science dedicated to simulating intelligent behavior in computers. The field of artificial intelligence is rapidly evolving across different sectors and disparate industries.

This topic page regularly updates with the IAPP’s latest resources on AI and privacy.


News Articles

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CA’s SB 53, EU AI Act are both governance frameworks, but the similarities end there


Vietnam’s draft AI Law: Racing toward regulation with EU inspirations


Engineering GDPR compliance in the age of agentic AI


With SB 53, California puts AI disclosure requirements on the map


AI in health care: Balancing innovation with privacy and trust


A view from DC: What does AI transparency mean to lawmakers?


Exploring some of the new dynamics impacting the global AI governance space


Why friction around AI copyright liability is likely to continue


Italy becomes first EU member state to pass an AI law


Why targeted AI action could be the path for US regulation


How AI is compelling a rethink on organizational cybersecurity strategies


How the US DOJ has revamped its AI procurement process


Age, content restrictions could be coming next for AI chatbots


Responsible AI governance shouldn’t start — much less end — at legal compliance


Beyond job displacement: Operational fragility is the real AI risk


AI Act, ePrivacy Directive included in European Commission’s consultation on digital simplification


US senator aims to advance US AI leadership with sandbox, federal regulatory exemptions


What the proposed Anthropic copyright settlement could mean for AI data deletion policies


AI governance in health care


Notes from the AI Governance Center: The complexity of AI standardization


Opinion: South Korea’s AI Act designed to be all roar, no bite


China releases ‘AI Plus’ plan, rolls out AI labeling law


Vibe coding: Don’t kill the vibe, govern it


Fair use or free ride? The fight over AI training and US copyright law


Model drift, data leaks and deepfakes: Rethinking AI governance in the age of autonomous risk


The rise of AI in cybersecurity: Finding the right balance between security and privacy


A view from Brussels: The stakes of data memorization in AI models


Colorado AI Act faces potential changes in special legislative session


Emotional delusion: Why we believe AI likes us


Cross-border data flows and privacy risks in AI-enabled medical devices: A call for guardrails


Texas Responsible AI Governance Act compliance: A sample policy framework


Naming the unseen: How the MIT AI Risk Repository helps map the uncertain terrain of AI governance


General-purpose AI models: The European Commission’s guidelines on the scope of obligations


Luminos.AI, ZwillGen partner on AI law platform to help scale common governance practices


White House unveils AI Action Plan


Privacy engineering for AI machine learning: Addressing algorithmic disgorgement risks during product development


European Commission receives final version of General-Purpose AI Code of Practice


Hallucinations in LLMs: Technical challenges, systemic risks and AI governance implications


European Commission holds firm on AI Act implementation timeline


A view from Brussels: Will the EU pause the AI Act?


Navigate 2025: Rise of AI brings novel litigation, copyright issues


Navigate 2025: How individuals’ feelings inform AI governance practices


Latin America, the Caribbean caught in the middle on AI governance


US Senate abandons proposed state AI law moratorium as compromise falls through


How proposed AI enforcement moratorium cuts into US state-level powers


Navigate 2025: Potential EU AI Act pause opens new questions on approach to global regulation


EU model contractual clauses for AI procurement: A practical guide


What Brazil’s ANPD expects from companies using generative AI


Don’t abandon our values: Why the EU must stay the course on AI regulation


Governor signs Texas Responsible Artificial Intelligence Governance Act


NY sends AI frontier model bill to the governor’s desk


Support for AI Act pause grows but parameters still unclear


Meta’s risk assessment updates look toward ‘holistic’ approach


Italy’s DPA reaffirms ban on Replika over AI and children’s privacy concerns


DAA’s Self-Regulatory Principles undergoing review with eye toward leveraging IBA data with AI


Japan passes innovation-focused AI governance bill


Congressional pushback on proposed US state-level AI law moratorium increases


Congressional pushback on proposed US state-level AI law moratorium increases


South Korea’s PIPC flexes its muscles: What to know about AI model deletion, cross-border transfers and more


Europe must drastically adapt enforcement strategy against Big Tech


Right-sizing AI governance: Starting the conversation for SMEs


Insights from the ANPD’s new technical note on automated decisions


AI governance in aged care


Proposed moratorium on state-level AI regulation heads to US Senate


We cannot be left behind:’ How Canada is balancing AI regulation, innovation


We cannot be left behind:’ How Canada is balancing AI regulation, innovation


Transparency, good data and documentation: How HR can navigate the EU AI Act


Developers prepare for uncertainty, look to prior regulations with AI Act coming online


Proposed federal moratorium on US state-level AI regulation passes House committee


EU commissioner lays out suite of AI governance, consumer protection goals


AI, insurance, discrimination and unfair differentiation: An overview and research agenda


House Commerce Committee floats 10-year moratorium on state-level AI enforcement


Neurotechnologies under the EU AI Act: Where law meets science


Why privacy technology is failing — and why AI won’t fix it


A view from DC: US Senate hearing gives a preview of AI on Cruz control


A view from Brussels: From coal and steel in 1950, to cybersecurity and AI in 2025


Mirror, mirror: Navigating privacy and AI compliance with digital clones


Brazil enacts AI-focused law to combat psychological violence against women


A view from DC: Colorado considers re-forging AI guardrails


Biometric promises, regulatory gaps: Why Canada needs a new approach to facial recognition technology


A view from Brussels: One and two years on, AI Act and DMA are in motion


Latin America unlikely to see EU-style AI regulation, practitioners say


The EU AI Act and copyrights compliance


Artificial illusion: Global governance challenges of deepfake technology


Biometrics in the EU: Navigating the GDPR, AI Act


Toward a tailored approach for privacy, trustworthiness in Edge AI


From assurance to insurance — a conversation on the insurability of generative AI


European Commission’s latest AI initiatives look to drive competitiveness, broader integration


People, planet the ‘golden thread’ for AI governance pioneer Kay Firth-Butterfield


Survey explores how employees really feel about workplace AI


Imagine if AI agents planned your next vacation


The myth of anonymization: Why AI needs a new privacy paradigm


Virginia governor vetoes AI bill


A look at stakeholder input for the White House AI action plan


Operational impacts of the EDPB’s opinion on data protection in AI models


The current state of affairs for AI regulation in Australia


The quiet revolution in workplace tech


Why AI lawyers need a new ethical code


Privacy in the age of robotics


The AEPD’s approach to AI: Smarter models, better compliance


Foundational considerations in mitigating AI data risk


Will AI replace me?


Virginia Legislature passes AI bill, but unclear if governor will sign it


Beyond compliance: The case for adaptive AI governance


Maturing the AI Literacy Program


European Commission withdraws AI Liability Directive from consideration


The outlook for AI safety regulation in the US


Integrating AI literacy into compliance frameworks


Deregulation, competition take center stage at AI Action Summit


Global AI questions swirl ahead of AI Action Summit


Preparing for compliance: Key differences between EU, Chinese AI regulations


First EU AI Act provisions now in effect


After Meta, Bankston furthers ‘responsible AI development’ with CDT


DeepSeek’s ascension catches the eye of international regulators


Designing an AI literacy program


AI, digital policy shifts increase under latest Trump executive orders


Analyzing South Korea’s Framework Act on the Development of AI


Trump rescinds Biden’s AI safety executive order


Assessing AI literacy needs


Perspective: Why data subjects’ rights to LLM training data are not relevant


Understanding AI literacy


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Research Articles

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Global AI Governance Law and Policy: Canada


Global AI Governance Law and Policy: US


Global AI Governance Law and Policy: South Korea


AI in every home: Analyzing the public comments behind the White House AI Action Plan


US state AI legislation: Reviewing the 2025 session


AI governance in the agentic era


Global AI Governance Law and Policy: Singapore


Global AI Governance Law and Policy: India


Global AI law and policy trends update


How different jurisdictions approach AI regulatory sandboxes


Policy analysis: US House committee seeks moratorium on state AI rules


TAKE IT DOWN Act: The next bipartisan US federal privacy, AI law


New laws in California look to the future of privacy and AI


Tracking evolving policy paradigms in a hallmark year for AI governance


Top 10 operational impacts of the EU AI Act – Leveraging GDPR compliance


Council of Europe’s Framework Convention on AI and its global implications


OMB seeks input on policies for commercially available data and AI


Top 10 operational impacts of the EU AI Act – Regulatory implementation and application alongside EU digital strategy


Top 10 operational impacts of the EU AI Act – Post-market monitoring, information sharing, and enforcement


Global AI Governance Law and Policy: EU


Scrutiny continues as the AI Act reaches implementation


AI and digital governance: Exploring platform liability laws in the EU


Top 10 operational impacts of the EU AI Act – AI Assurance across the risk categories


AI and digital governance: Platform liability laws in the US


Top 10 operational impacts of the EU AI Act – Governance: EU and national stakeholders


Top 10 operational impacts of the EU AI Act – Obligations for general-purpose AI models


Top 10 operational impacts of the EU AI Act – Obligations on nonproviders of high-risk AI systems


Top 10 operational impacts of the EU AI Act – Obligations on providers of high-risk AI systems


Top 10 operational impacts of the EU AI Act – Understanding and assessing risk


AI and digital governance: Exploring platform liability


Top 10 operational impacts of the EU AI Act – Subject matter, definitions, key actors and scope


How privacy and data protection laws apply to AI: Guidance from global DPAs


US state AI governance bills: Reflecting on the 2024 cycle with a new resource


Global AI Governance Law and Policy: UK


Checking in on proposed California privacy and AI legislation


OECD privacy, AI leaders come together to bridge gaps


Consumer Perspectives of Privacy and Artificial Intelligence


Biased AI systems face the music: Analyzing the FTC’s Rite Aid enforcement


US federal AI governance: Laws, policies and strategies


Implications of the AI executive order for business


Training AI on personal data scraped from the web


Contentious areas in the EU AI Act trilogues


5 things to know about AI model cards


AI regulatory enforcement around the world


Regulators’ rulebook for AI: Bit by bit


The Atlantic Declaration: Data bridges, privacy and AI


Generative AI: Privacy and tech perspectives


Federated learning: Supporting data minimization in AI


Privacy and responsible AI


Local facial recognition bans begin to take hold


A look at what’s in the EU’s newly proposed regulation on AI


Privacy and racial justice: Regulating facial recognition technology


Building Ethics into Privacy Frameworks for Big Data and AI


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Podcasts, Videos, Web Conferences

View all: Podcasts, Videos, Web Conferences

Scaling trust: Building AI governance that drives strategy and value


Data foundations for AI success: How governance powers privacy and compliance


AI governance in the agentic era


You have been tracked: Consent, AI and the new privacy frontier


What makes an AI governance professional: A discussion with Ashley Casovan


The EU AI Act is here: Are global organizations ready?


Anticipating and preparing for changes in AI policy


Agentic AI: Navigating the tension between privacy and the next generation of AI


What’s next after the AI moratorium?


AI agents and agentic AI: What privacy and AI governance leaders must know now


From global principles to APAC practice: Governing AI responsibly


Built to scale: Privacy and AI risk frameworks


Meta’s risk evolution: Automating privacy reviews for integrated digital governance


The challenges generative AI poses to creators and cultural industries


The hidden threat: Managing AI vendor and third-party risk before it hits


The impact of AI on companies of all sizes


Exploring the idea of a broad AI governance


A holistic approach to data privacy for the AI era


US state AI legislation in 2025: Connecticut state Sen. James Maroney


Navigating privacy in AI: Insights for Data Privacy Day 2025


Generative AI in the workplace: Practical privacy strategies


EDPB opinion on personal data and AI models: how consequential is it?


Implementing third-party AI tools: Guardrails and vendor risk management


AI red teaming strategy and risk assessments: A conversation with Brenda Leong


Demystifying AI risk: Risk tiering in regulated and nonregulated industries


AI governance professionals: Who, what and why now?


Risks and rewards of AI laws and regulations


Investing in AI governance literacy


Data governance approaches to mitigating AI risk


Automated decision-making: Navigating your compliance obligations


Presidential election 2024: Where the candidates stand on privacy and AI governance


AI and privacy: Bridging the gap between progress and protection


AI’s impact on the language industry


Implementing AI governance in a global compliance environment


When AI meets PI: Assessing and governing AI from a privacy perspective


Evolving jobs in privacy: AI and Big Data’s impact on role redefinition


Assessing AI risks and impact: A conversation with NIST’s Reva Schwartz


Privacy and AI: Bridging the divide


The crucial role of obtaining valid consent in the era of AI model development


Impact of Colorado AI Act on governance and policymaking


EU AI Act compliance priorities


How the rise of generative AI affects privacy risks


Building an AI governance and compliance program


Inside the EU AI Act negotiations: A conversation with Laura Caroli


AI and data privacy: Minimizing risk and maximizing opportunity


Bringing your AI policy to life: Operationalizing key strategies for governance


Regulating AI in the UK: A conversation with Lord Holmes


Implementing the EU AI Act: What it means and what you need to know


The EU AI Act’s future regulatory landscape and organizational compliance efforts


The EU AI Act: A major moment in the digital world


The genesis and evolution of the AI governance profession


Mastering the art of AI governance to unlock generative AI innovation


Breaking down the EU AI Act


The EU AI Act’s political deal and what’s next


The EU AI Act: Significance, how it happened, what was agreed upon and the next steps


Foundations for an effective AI governance program


Responsible AI: Putting data ethics into action


Leveraging privacy procedures to tackle AI governance challenges


Intellectual property and AI: The operational, legal and ethical aspects


Generative AI, the GDPR and the need for innovation


The importance of the regulatory enforcement of AI


Ongoing efforts to implement responsible AI on the ground


Integrating safety research into AI governance, the EU AI Act and foundational models


AI governance and building safe, secure, trustworthy AI and innovation systems


A conversation with IAPP AI Governance Center Managing Director Ashley Casovan


Consumer perspectives on AI and implications for your privacy program


Digital identity and responsible AI


Data bias: AI fairness and the need for diversity in privacy/data/AI governance


Public perception of online privacy and policy implications of AI and emerging tech


UK digital regulation and AI governance


Generative AI Governance 101 — A masterclass for privacy pros


Managing privacy in the era of generative AI


AI & ethics – New developments, regulatory considerations and ethical obligations


White House Blueprint for an AI Bill of Rights: Catching up with the co-author


The EU AI Act: A look into the negotiations


Generative AI: Privacy and Ethical Considerations for Your Business


The IAPP AI Governance Center: A call to action for privacy pros


Report on responsible AI and privacy governance – discussion of findings


The reality of a synthetic future where media is manipulated and generated by AI


Exploring the price we pay as technology migrates deeper into our lives


The new AI Risk Management Framework: NIST’s Reva Schwartz


Leveraging privacy governance for the responsible use of AI


How to play in the AI sandbox


Former Google chief business officer Mo Gawdat explores humanity’s relationship with technology


EU AI Act Proposal: What could it change?


AI and Biometrics Privacy: Trends and Developments


From Data Compliance to Data Intelligence


How to Deal with Facial Recognition and Make it Compliant?


Humans in the Loop: Building a Culture of Responsible AI


More than Face Value: Facial Recognition Technology & Privacy


The EU AI Regulation — What’s New and What’s Not?


Understanding Machine Learning Technology and Developing A Risk-Based Approach


Diversity and Inclusion: An AI Formula for HR Success


Ethical-AI-by-Design: How Responsible AI Yields a Brighter Tomorrow


Privacy in 2030 — AR/VR and Brain-Computer Interfaces Will Shape the Next Decade


AI, a Privacy Odyssey: Conducting Privacy Assessments on AI Projects


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