Pair of white papers address AI accountability and governance

The first white paper published by the Centre for Information Policy Leadership (CIPL) addresses how to build accountable artificial intelligence (AI) programmes. The paper reveals the best practices adopted by 20 leading organisations, specifically highlighting the need for organisational accountability in the responsible development and deployment of AI. As the expectations of consumers, business partners, shareholders, and regulators around responsible AI use continue to grow, organisations recognise the importance of demonstrating AI accountability as a business imperative. The white paper also stresses the significance of leveraging knowledge from other disciplines, such as data protection, information security, human rights, and cybersecurity, to ensure effective AI governance.

The second white paper published by Stanford University's Institute for Human-Centered Artificial Intelligence (HAI) examines the impact of data privacy and security legislation on the development of AI. The paper outlines three key recommendations for ensuring personal data privacy as AI technologies become more advanced. These include making data collection an opt-in process instead of opt-out, promoting transparency throughout the AI data supply chain, and creating new governance mechanisms that empower individuals to control how their data is used.