The topic of this panel focuses on the challenges of AI deployments and their inherent limitations. Panelists also highlight how to help policymakers learn about the complex ecosystem of technology so that they are able to make informed decisions for the public good.
Moderator: Jane Macfarlane, CEO, Seurat Labs / Director - Smart Cities, UC Berkeley Speakers: Kay Firth-Butterfield, Head of AI and Machine Learning, World Economic Forum Norma Krayem, Sr. Policy Advisor and Co-Chair - Cybersecurity and Privacy, Holland & Knight Raj Minhas, VP - Interaction and Analytics Lab, PARC During this session, the panelists discussed AI in the context of regulation, the role of government in fostering and leveraging emerging technologies and the reasons why we need better public/private collaboration. Some of the key takeaways from the session are:- Fostering and creating explainable models is going to be crucial in for receiving government support and for fostering collaboration in the AI space.
- Standards, certification, protocols, partnerships and process or outcome based scalable laws are some of the avenues we need to explore to "regulate" AI.
- Open, honest conversations are necessary between technology companies and regulators, it's important to educate them on how the technology works and the real risks of integrating to different systems.