Geneva Macro Labs with Paul Wang on AI and governance
Me at talk for interesting folks at Geneva Macros Labs on December 9 2022. LinkedIn post from them here:
How would #techgovernance differ if the earning of #societal #trust were considered and systematically incorporated? This was Hilary Sutcliffe’s opening question of her presentation at our last webinar on #AIgovernance and trust. Hilary, director at SocietyInside and of the TIGTech - Earning Trust in Tech Governance Initiative, is known for her “trust-thought of the day” campaign.
📺 Please review our debate here: https://lnkd.in/gkcs3Jbc
Driven to find out what happens if we include efforts towards #trustworthiness and earning trust in AI governance institutions and design, Hilary and her colleagues analysed seven #trust drivers. They build on the fact that AI governance remained for quite a number big corporates an afterthought or worse. In such evolving environment and fast changing technological intelligence era, #humanrights law, privacy and data #law already cover a lot for AI governance.
Key takeaways
👉🏾 Because of the fact that governments struggle with AI law enforcement, a first starting point could be seen in #softlaw. Citizens have trust in governance the most when they know it’s there and can see it is working. Hence, #communication around AI governance is indispensable.
👉🏾 Soft law is mainly #selfgovernance by companies. It works best when regulations are about to come. Evidence suggests that the threat of regulations can kick off a true hype of saft law.
👉🏾 A more #collaborative communicative tech governance by #regulators benefits from three competencies: (1) providing evidence of trustworthiness (a new approach to communication), (2) building trusted environments for collaborative governance, and (3) involving citizen in tech governance.
