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

Creator website

Episode guests

Kleomenis Katevas

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.

Introduction

2min

Exploring AI and Privacy Preserving Techniques

2min

Privacy Concerns and the Need for Privacy-Focused Solutions

2min

Privacy Preserving AI Systems and Potential Risks

15min

The Future of AI and Its Potential Impact on Various Industries

2min

Kleomenis Katevas, Machine Learning Researcher at Brave Software, discusses how we can build trust in AI with the general public by making data as safe and secure as possible. He also unpacks some of the myths the general public holds about AI, how to debunk these myths, and tangible steps companies can take to reduce privacy concerns with AI.

Key Takeaways:

How Twitter (now known as X) can be a great resource for learning more about AI, along with specific accounts and thought leaders he’s following in the space
Exciting ways that healthcare will be vastly improved through artificial intelligence via customized treatment plans and timely diagnosis
Why Brave is taking a privacy-first approach to its AI product suite

Guest Bio: Kleomenis Katevas is a Machine Learning Researcher at Brave Software, where he’s focused on designing and building privacy-preserving, ML-based systems. His research interests lie in the areas of Privacy-Preserving Machine Learning, Federated Learning, Mobile Systems, and Human-Computer Interaction.

----------------------------------------------------------------------------------------

About this Show:

The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech.To make it digestible, less scary, and more approachable for all!

Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together.

The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software - makers of the privacy-respecting Brave browser and Search engine, now powering AI with the Brave Search API.

Music by: Ari Dvorin

Produced by: Sam Laliberte