The Brave Technologist
Privacy Protecting AI and Building Consumer Trust
Nov 22, 2023
Kleomenis Katevas, a machine learning researcher at Brave Software, explores how to build trust in AI by ensuring data privacy and debunking myths. He discusses the potential of AI in healthcare and Brave's privacy-first approach. Topics include Twitter as a learning resource, privacy preserving techniques, and the future impact of AI on industries like healthcare and education.
23:09
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- By making data as safe and secure as possible, companies can build trust in AI with the general public.
- Exciting ways that healthcare will be vastly improved through artificial intelligence via customized treatment plans and timely diagnosis.
Deep dives
Privacy-protecting AI and Building Trust
The podcast episode focuses on the importance of privacy-protecting AI and building consumer trust in AI. It explores the concerns about user data confidentiality, misuse of personal information, and potential breaches. The episode emphasizes the need for techniques and methodologies in AI that ensure the protection of user data, both during training and inference. It highlights the limitations of centralized server-based training and proposes solutions like on-device processing and federated learning. The episode also discusses the importance of transparency, open source algorithms, and user feedback in building trust with the general public regarding AI's ability to preserve privacy.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
