Since 2019, CIPL has been spearheading work to interpret the legal basis for processing personal data under data protection laws as well as apply data protection laws and principles to AI technologies. Building on this, CIPL has spent the last year convening a select group of Data Protection Officers from leading companies in an initiative […]

While AI technologies are not new, the advent and update of generative AI have prompted regulators and policymakers to renew their focus on their governance. In the context of privacy and data protection, this has led to debate on how data protection principles apply to AI, what new risks these systems may present, and how […]

Agentic AI has the potential to transform business processes and customer experience across a range of industries. Companies are working to rapidly scale their investment, development, and adoption of agentic AI to help better serve customers and reap benefits, such as greater productivity and efficiency, optimization of organizational resources, and personalization of products and services. […]

Building on CIPL’s ongoing work at the intersection of data protection, AI, and organizational accountability, our latest paper takes a deep dive into the evolving role of sensitive data in AI systems. As AI technologies become more advanced and widely adopted, existing legal frameworks often restrict the use of sensitive data, even when it is […]

Enabling responsible innovation to advance economic growth has become central to the global discussions on privacy and digital policy. As the digital landscape rapidly evolves, policymakers worldwide are exploring pro-innovation approaches to regulate emerging technologies effectively without stifling innovation. On 1 April 2025, CIPL held a roundtable on ‘Smart Regulation in a Changing World’ to […]

As a first part of CIPL’s EU AI Act Implementation Project and in conjunction with ongoing research on the responsible and accountable development and deployment of artificial intelligence systems, CIPL has identified Article 4 AI literacy best practices and recommendations for practitioners. AI Literacy Best Practices for Whom? These best practices can be adapted and […]

In this discussion paper, CIPL considers the following key privacy and data protection concepts and explores how they can be effectively applied to the development and deployment of genAI models and systems: Fairness; Collection limitation; Purpose specification; Use limitation; Individual rights; Transparency; Organizational accountability; and Cross-border data transfers. The analysis in this paper builds on […]

This report showcases how 20 leading organizations are developing accountable AI programs and best practices on the ground. Our research shows that organizational accountability is fundamental to the responsible development and deployment of AI. Organizations recognize the need to demonstrate AI accountability as a business imperative, especially as the expectations of consumers, business partners, shareholders, […]

Drawing on CIPL’s years of experience as a thought leader and our extensive engagement with private sector leaders developing and deploying AI technologies, policymakers, and regulators, CIPL offers in this paper ten recommendations to guide AI policymaking and regulation to enable accountable, responsible, and trustworthy AI. These ten recommendations encapsulate CIPL’s view on a layered […]

Building on its prior work, CIPL has been working with experts in the EU and multinational companies who are leaders in AI to collect best practices and emerging trends in AI accountability. CIPL’s objective is to inform the current EU discussions on the development of rules to regulate AI. This paper summarizes CIPL’s vision on […]

The COVID-19 crisis is imposing a wide range of immediate and likely long-term impacts on organizations, governments, regulators, people and society at large. Many of them are likely to stay with us beyond the immediate crisis and change the way we all live, work and interact going forward. These impacts likely will also be felt […]

The rise and rapid expansion of Artificial Intelligence technology is one of the main features of the Fourth Industrial Revolution. Its transformational potential for our digital society and ability to drive benefits for citizens, governments and organizations is unparalleled. To realize this potential and ensure its sustainability, we must build AI on a foundation of […]

This report introduces artificial intelligence and some of the technologies enabled by it, as well as some of the challenges and tensions between artificial intelligence and existing data protection laws and principles. The challenges to data protection presented by AI are frequently remarked on but are often addressed only at a surface level. There is […]