📢 OECD Publishes Report on AI, Data Governance, and Privacy In the age of rapid digital transformation, the OECD.AI has published a report that highlights six critical policy considerations to ensure that AI systems are effective and respect user privacy : 1. Ensuring transparency in AI systems 2. Safeguarding data privacy 3. Enhancing data security measures 4. Promoting data access and sharing 5. Encouraging international cooperation 6. Regulating AI technology use effectively ➡ As the OECD explains, the report "maps the principles set in the OECD Privacy Guidelines (1980) to the OECD AI Principles (2023), takes stock of national and regional initiatives, and suggests potential areas for collaboration." ➡ "The report supports the implementation of the OECD Privacy Guidelines alongside the OECD AI Principles. By advocating for international co-operation, the report aims to guide the development of AI systems that respect and support privacy." CAIDP Executive Director Marc Rotenberg said, "The OECD AI and Privacy report is an important contribution to the field. Fairness, accuracy, and transparency are the foundation for data protection and remain central to the design of human-centric and trustworthy AI." Karine Perset Clarisse Girot Reuven Eidelman Denise Wong Dr. Clara Neppel Yordanka Ivanova Kari Laumann Winston Maxwell Marc Rotenberg Dominique Greene-Sanders Tamiko Eto Nayyara Rahman Merve Hickok Karine Caunes Center for AI and Digital Policy Europe #aigovernance #dataprotection #privacy #transparency #humancentric
I think that international cooperation is of fundamental importance, which would ensure a balance of powers in which no country can dominate the others. But regulatory power will either lose or retain its role as a tool to protect individual sovereignties, or multilateralism will be an effective antidote to mitigating growing geopolitical tensions in the digital age?
I hope this report offers suggestions for those of us who write online, because we want to reach other HUMANS, not because we want our writings to be scraped and regurgitated in some fragmented fashion, or our artwork distorted into some fake-looking image.
This will definitely be worth reading.
Amanda Leal
2w
Kudos to OECD.AI's Sarah Bérubé as well! 👏
Very helpful!
Very helpful!
Very helpful!
Researcher, Author, Educator | PhD in Human Services
3wI'm looking forward to reading this, but it's important to note that we need to move beyond principle-based frameworks, especially when it comes to implementing AI systems. As Luke Munn and David Leslie have argued, principles, values, and similar concepts are open to interpretation. They don't provide the precise scaffolding necessary to guide safe, fair, and beneficial implementations. Instead of relying solely on consensus frameworks, we need evidence-based guidance grounded in empirical evidence that considers the actual harms of a particular AI system in context before we begin using it. As development races ahead, sound guidance for implementation lags further and further behind.