- After-Shows
- Alternative
- Animals
- Animation
- Arts
- Astronomy
- Automotive
- Aviation
- Baseball
- Basketball
- Beauty
- Books
- Buddhism
- Business
- Careers
- Chemistry
- Christianity
- Climate
- Comedy
- Commentary
- Courses
- Crafts
- Cricket
- Cryptocurrency
- Culture
- Daily
- Design
- Documentary
- Drama
- Earth
- Education
- Entertainment
- Entrepreneurship
- Family
- Fantasy
- Fashion
- Fiction
- Film
- Fitness
- Food
- Football
- Games
- Garden
- Golf
- Government
- Health
- Hinduism
- History
- Hobbies
- Hockey
- Home
- How-To
- Improv
- Interviews
- Investing
- Islam
- Journals
- Judaism
- Kids
- Language
- Learning
- Leisure
- Life
- Management
- Manga
- Marketing
- Mathematics
- Medicine
- Mental
- Music
- Natural
- Nature
- News
- Non-Profit
- Nutrition
- Parenting
- Performing
- Personal
- Pets
- Philosophy
- Physics
- Places
- Politics
- Relationships
- Religion
- Reviews
- Role-Playing
- Rugby
- Running
- Science
- Self-Improvement
- Sexuality
- Soccer
- Social
- Society
- Spirituality
- Sports
- Stand-Up
- Stories
- Swimming
- TV
- Tabletop
- Technology
- Tennis
- Travel
- True Crime
- Episode-Games
- Visual
- Volleyball
- Weather
- Wilderness
- Wrestling
- Other
EP 30 - Securing Data Amid the AI Gold Rush
Diana Kelley, Chief Information Security Officer (CISO) at Protect AI joins host David Puner for a dive into the world of artificial intelligence (AI) and machine learning (ML), exploring the importance of privacy and security controls amid the AI Gold Rush. As the world seeks to capitalize on generative AI’s potential, risks are escalating. From protecting data from nefarious actors to addressing privacy implications and cyber threats, Kelley highlights the need for responsible AI development and usage. The conversation explores the principle of least privilege (PoLP) in AI, the privacy implications of using AI and ML platforms and the need for proper protection and controls in the development and deployment of AI and ML systems.