Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Alliance), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls.
00:00 Introduction to the Podcast
00:50 Overview of AI Assessments, Reviews, and Audits
02:20 Key Definitions and Concepts in AI
05:44 Panelist Introductions
08:39 Discussion on Responsible and Trustworthy AI
18:33 Training AI Models and Explainability
22:33 Challenges in AI Assessments and Reviews
27:09 Global Perspectives on AI Audits
39:10 Practical Approaches for AI Model Reviews
53:57 Key Skills for AI Model Audits
59:27 Introduction and Areas of Practice
01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing
01:07:36 AI Models in Fraud Detection
01:14:41 Export Control on AI Models
01:21:35 International AI Audit Methodologies
01:27:42 Challenges in AI Audits
01:42:10 Accountability in AI Audits
01:46:13 Conclusion and Final Thoughts
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Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Alliance), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls.
00:00 Introduction to the Podcast
00:50 Overview of AI Assessments, Reviews, and Audits
02:20 Key Definitions and Concepts in AI
05:44 Panelist Introductions
08:39 Discussion on Responsible and Trustworthy AI
18:33 Training AI Models and Explainability
22:33 Challenges in AI Assessments and Reviews
27:09 Global Perspectives on AI Audits
39:10 Practical Approaches for AI Model Reviews
53:57 Key Skills for AI Model Audits
59:27 Introduction and Areas of Practice
01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing
01:07:36 AI Models in Fraud Detection
01:14:41 Export Control on AI Models
01:21:35 International AI Audit Methodologies
01:27:42 Challenges in AI Audits
01:42:10 Accountability in AI Audits
01:46:13 Conclusion and Final Thoughts
Analyzing President Trump’s Executive Order on Artificial Intelligence
New York City Bar Association Podcast
1 hour 2 minutes 2 seconds
8 months ago
Analyzing President Trump’s Executive Order on Artificial Intelligence
Jerome Walker, co-chair of the Presidential Task Force on Artificial Intelligence and Digital Technologies, leads a discussion on President Trump's January 23, 2025 executive order: Removing Barriers to American Leadership in Artificial Intelligence. The episode features insights from Nikhil Aggarwal, Harut Minasian, and Nichole Sterling on the implications of reversing President Biden's AI policies. Key discussions include the roles of federal and state regulations, the balance between innovation and safety, and the international landscape of AI regulations. Nikhil, Harut and Nichole also explain foundational principles like explainability, transparency, and fairness in AI models, and assess how stakeholders should navigate these regulatory changes. Additionally, the episode delves into practical examples of AI applications in national security and offers strategic advice for market participants over the next four years.
If you’re interested in learning more about cryptocurrency and regulatory treatment of digital financial technology, join us for the City Bar’s Crypto Institute on March 11 (https://services.nycbar.org/Institute/ and available thereafter on-demand). Visit nycbar.org/events to find all of the most up-to-date information about our upcoming programs and events.
Removing Barriers to American Leadership in Artificial Intelligence: https://www.whitehouse.gov/presidential-actions/2025/01/removing-barriers-to-american-leadership-in-artificial-intelligence/
00:22 Overview of President Trump's Executive Order on AI
02:34 Panelist Introductions
05:47 Understanding AI Models
08:01 AI in National Security
10:13 Impact of Executive Orders on AI Stakeholders
14:24 Legal Advice for AI Stakeholders
30:59 State Responses to Federal AI Policies
35:00 International AI Regulations and US Leadership
56:11 AI Action Plan and Key Principles
01:00:48 Conclusion and Closing Remarks
New York City Bar Association Podcast
Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Alliance), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls.
00:00 Introduction to the Podcast
00:50 Overview of AI Assessments, Reviews, and Audits
02:20 Key Definitions and Concepts in AI
05:44 Panelist Introductions
08:39 Discussion on Responsible and Trustworthy AI
18:33 Training AI Models and Explainability
22:33 Challenges in AI Assessments and Reviews
27:09 Global Perspectives on AI Audits
39:10 Practical Approaches for AI Model Reviews
53:57 Key Skills for AI Model Audits
59:27 Introduction and Areas of Practice
01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing
01:07:36 AI Models in Fraud Detection
01:14:41 Export Control on AI Models
01:21:35 International AI Audit Methodologies
01:27:42 Challenges in AI Audits
01:42:10 Accountability in AI Audits
01:46:13 Conclusion and Final Thoughts
