GOTO - The Brightest Minds in Tech Ethics in AI: Biases & Responsibilities • Michelle Frost & Hannes Lowette
Sep 9, 2025
Michelle Frost, an AI advocate at JetBrains and responsible AI consultant, teams up with Hannes Lowette, a principal consultant and monolith advocate, to tackle the ethical challenges posed by AI. They dive into the delicate balance between accuracy and fairness, reflecting on recent regulatory changes. Michelle emphasizes the importance of transparency and accountability in AI development, while both guests highlight the need for rigorous bias measurement. The conversation also touches on AI's promise in healthcare, showcasing its potential benefits for patients.
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AI Value Trade-Offs Are Contextual
- The AI value-alignment problem forces trade-offs like fairness versus accuracy and privacy versus security.
- These trade-offs depend on company, product, regulation, and political context and require case-by-case balancing.
There Is No One-Size Policy
- Ethics in AI decisions always start with "it depends" because context, users, and jurisdictions differ.
- Companies and developers must tailor approaches to their product, industry, and legal environment.
Policy Rollbacks Shift Burden To Industry
- Recent U.S. policy shifts rolled back prior AI executive orders and paused initiatives like the Biden AI EO and NIST momentum.
- These reversals increase reliance on corporations and consumers to self-regulate responsible AI practices.