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Bridging Worlds: AI Governance & Software Engineering | Responsible AI Innovation
As AI rapidly evolves, how can we ensure transparency, accountability, and ethical innovation? In this episode of the Everything AI & Law Podcast, I (Tolulope Awoyomi) sit down with Lusine Petrosyan and Trung Lam, two AI experts from the National Fair Housing Alliance, to discuss the intersection of AI governance and engineering.
Key Discussion Topics:
- Textrify: AI vs. Human Content Detection – A tool bridging policy & engineering
- AI Detection & Accountability – The challenges of distinguishing AI-generated content
- The ‘Cat and Mouse’ Race – AI developers vs. detection systems
- Balancing AI Innovation & Regulation – Finding the right policy approach
- De-biasing AI Models – Technical & policy-driven solutions
- Interdisciplinary Collaboration in AI – Why policy & engineering must work together
- AI Ethics & Public Perception – Addressing fears & misconceptions
- The Future of AI & Policy – What’s next in AI governance?
Lusine, an AI governance researcher, and Trung, an AI engineer, share their collaborative journey developing Textrify, a tool designed to distinguish between AI-generated and human content. Our discussion highlights the importance of cross-disciplinary collaboration in ensuring ethical and responsible AI development.
Whether you’re an AI enthusiast, policymaker, software engineer, or just curious about the future of AI accountability, this episode is packed with valuable insights!
Chapter Timestamps:
- 00:00 Snippet
- 01:21 Textrify: Bridging Policy & Engineering in AI
- 06:21 The Role of AI Detection Tools in Accountability
- 10:56 The 'Cat and Mouse' Race in AI Detection
- 13:51 Balancing Innovation & Regulation
- 21:36 De-biasing AI: Technical & Policy Approaches
- 27:31 Importance of Interdisciplinary Collaboration in AI
- 32:36 Ethics, Public Fear & AI’s Future
- 41:36 Exciting Prospects in AI & Policy
- 46:56 Closing Thoughts & Key Takeaways
-------------------------
Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro
-------------------------
Connect with Us:
- Tolulope Awoyomi
- Lusine Petrosyan
- Trung Lam
View all episodes
By Tolulope AwoyomiAs AI rapidly evolves, how can we ensure transparency, accountability, and ethical innovation? In this episode of the Everything AI & Law Podcast, I (Tolulope Awoyomi) sit down with Lusine Petrosyan and Trung Lam, two AI experts from the National Fair Housing Alliance, to discuss the intersection of AI governance and engineering.
Key Discussion Topics:
- Textrify: AI vs. Human Content Detection – A tool bridging policy & engineering
- AI Detection & Accountability – The challenges of distinguishing AI-generated content
- The ‘Cat and Mouse’ Race – AI developers vs. detection systems
- Balancing AI Innovation & Regulation – Finding the right policy approach
- De-biasing AI Models – Technical & policy-driven solutions
- Interdisciplinary Collaboration in AI – Why policy & engineering must work together
- AI Ethics & Public Perception – Addressing fears & misconceptions
- The Future of AI & Policy – What’s next in AI governance?
Lusine, an AI governance researcher, and Trung, an AI engineer, share their collaborative journey developing Textrify, a tool designed to distinguish between AI-generated and human content. Our discussion highlights the importance of cross-disciplinary collaboration in ensuring ethical and responsible AI development.
Whether you’re an AI enthusiast, policymaker, software engineer, or just curious about the future of AI accountability, this episode is packed with valuable insights!
Chapter Timestamps:
- 00:00 Snippet
- 01:21 Textrify: Bridging Policy & Engineering in AI
- 06:21 The Role of AI Detection Tools in Accountability
- 10:56 The 'Cat and Mouse' Race in AI Detection
- 13:51 Balancing Innovation & Regulation
- 21:36 De-biasing AI: Technical & Policy Approaches
- 27:31 Importance of Interdisciplinary Collaboration in AI
- 32:36 Ethics, Public Fear & AI’s Future
- 41:36 Exciting Prospects in AI & Policy
- 46:56 Closing Thoughts & Key Takeaways
-------------------------
Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro
-------------------------
Connect with Us:
- Tolulope Awoyomi
- Lusine Petrosyan
- Trung Lam