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 Is A Socio-Technical Problem
- AI is a socio-technical problem that amplifies human issues rather than creating wholly new ones.
- Effective solutions need interdisciplinary teams, not only policy or only technology fixes.
Use AI To Augment, Not Replace Devs
- Use AI to augment developers but keep humans responsible for business logic and long-term design.
- Senior developers must teach what AI tools won't: domain insight, architecture, and maintainability.
Breakthroughs Could Democratize Models
- New breakthroughs like DeepSeek and smaller efficient models could lower cost barriers and diversify who builds advanced models.
- Cheaper, narrower models may spur innovation outside big tech and shift the model landscape.