Explaining AI: How To Implement “Explainability” in Emerging Global AI/ML Regulations
The Privacy Insider by WireWheel
English - January 21, 2022 15:00 - 58 minutes - 40.2 MB - ★★★ - 2 ratingsTechnology Business privacy data privacy ccpa gdpr dsar data protection european commission data security policy internet law Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
This panel focused on the emerging principle of “explainability” in regulations that deal with AI and automated decision-making technologies.
Lee Matheson (Policy Counsel, Global Privacy at the Future of Privacy Forum), Dr. Sara R. Jordan (Senior Researcher, Artificial Intelligence and Ethics at the Future of Privacy Forum), Renato Leite Monteiro (Co-Founder at Data Privacy Brasil), and Christina Montgomery (Vice President & Chief Privacy Officer at IBM Corporation) discussed how to implement “explainability” in practice, as it is a common transparency requirement under both AI self-regulatory frameworks and prescriptive proposals like the EU AI Act, and a particularly challenging task for many privacy and compliance personnel.
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