The bulletin features the latest news, events and initiatives linking to AI governance. We post weekly highlights to showcase the range of activities around AIGA’s core themes: explainability, transparency, system design and commercialization of responsible AI.
- Without a doubt, the hottest news in the AI community was the legal framework proposed by the European Commission. The discussion is relevant for AIGA, as the AI governance frameworks must support regulatory compliance.
Proposal for a Regulation on a European approach for Artificial Intelligence: https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence-artificial-intelligence
- Virginia Dignum writes about “the myth of complement AI fairness”, based on a recent IBM-hosted panel: “The point is not complete fairness, but the need to establish metrics and thresholds for fairness that ensure trust in AI systems”
Read the blog: https://allai.nl/the-myth-of-complete-ai-fairness-by-virginia-dignum/
- AI auditing is deemed to be the “next big thing”, but its effectiveness to ensure ethical algorithms is under debate.
Read the article: https://techmonitor.ai/technology/ai-and-automation/ai-auditing-next-big-thing-will-it-ensure-ethical-algorithms
- The UK’s Centre for Data Ethics and Innovation has published a series of blog posts on AI assurance. The writers define AI assurance as “a number of governance mechanisms for third parties to develop trust in the compliance and risk of a system or organization.”
The need for effective AI assurance
Types of assurance in AI and the role of standards
User needs for AI assurance
- At the end of 2020, the Finnish Ministry of Economic Affairs and Development launched the Artificial Intelligence 4.0 programme. On April 26, the programme organized a kickoff and released the first interim report.
Read the report: http://urn.fi/URN:ISBN:978-952-327-643-7 [in Finnish]