Lunchtime BABLing with Dr. Shea Brown cover art

All Episodes

Lunchtime BABLing with Dr. Shea Brown — 73 episodes

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Title
1

Model Drift to Bias and Discrimination: The Many Risks of AI: Part 2

2

Data Poisoning to Hallucinations: The Many Risks of AI Part 1

3

AI Test, Evaluation, & Red Teaming Specialist Bootcamp

4

An Interview with Mert Çuhadaroğlu

5

Diving into the AI Compliance Officer

6

Implementing AI into Your Career

7

AI, Training & the Job Market

8

AI and Scheduling Optimization with Leon Ingelse

9

How to Break Into AI Governance?

10

AI Ethicist Reacts to Different Uses of AI

11

What is ISO 42001?

12

A New Framework to Assess the Business VALUE of AI

13

The Importance of AI Governance

14

Ensuring LLM Safety

15

Explainability of AI

16

AI’s Impact on Democracy

17

AI Literacy

18

Shea Visits RightsCon 2025

19

A Conversation with Ezra Schwartz on UX Design

20

Interview with Mahesh Chandra Mukkamala from Quantpi

21

EU AI Act Comes Into Effect and the Regulatory Uncertainty of North America

22

Interview with Abhi Sanka

23

An Interview with Soribel Feliz

24

2024 an AI Year in Review

25

An Interview with Aleksandr Tiulkanov

26

The future of jobs with AI

27

How will a Trump Presidency Impact AI Regulation

28

A BABL Deep Dive

29

AI Literacy Requirements of the EU AI Act

30

AI Frenzy: Will It Really Replace Our Jobs?

31

How NIST Might Help Deloitte With the FTC

32

'The Regulatory Landscape for AI in Insurance'

33

Where to Get Started with the EU AI Act: Part Two

34

Where to Get Started with the EU AI Act: Part One

35

Building Trust in AI

36

NYC AI Bias Law: One Year In and What to Consider

37

Understanding Colorado's New AI Consumer Protection Law

38

NIST AI Risk Management Framework & Generative AI Profile

39

The EU AI Act: Prohibited and High-Risk Systems and why you should care

40

Live Webinar Q&A Recording: Finding Your Place in AI Ethics Consulting

41

NIST, ISO 42001, and BABL AI online courses

42

Navigating Global AI Regulatory Compliance

43

Exploring the socio-technical side of AI Ethics (Re-uploaded) | Lunchtime BABLing .07

44

What Companies Need To Consider When Implementing AI

45

Key Takeaways of the EU AI Act | Lunchtime BABLing

46

028. International Association of Algorithmic Auditors

47

027. Understanding Fundamental Rights Impact Assessments in the EU AI Act

48

026. National Conference on AI Law, Ethics, and Compliance

49

025. AI and Algorithm Auditing Certificate

50

024. Interview with Khoa Lam on AI Auditing

51

023. AI Auditing with Jiahao Chen

52

022. Final Rules for NYC Local Law

53

021. Large Language Models, Open Letter Moratorium on AI, NIST's AI Risk Management Framework, and Algorithmic Bias Lab

54

020. AI Governance Report & Auditor Training

55

019. Interrogating Large Language Models with Jiahao Chen

56

018. The 5 Skills you NEED for AI Auditing

57

017. Criteria-Based Bias Audit

58

016. Breaking into AI Ethics (Part 2)

59

015. AI Risk Management Standards

60

014. The Use and Regulation of AI in Hiring with Dr. Frida Polli

61

013. Why Algorithm Auditing Needs Standards

62

012. What's in Store for AI Auditing in 2023?

63

011. AI Audit & Assurance

64

010. Breaking into AI Ethics Consulting

65

009. The Future of AI Regulation in the US & Europe with Merve Hickok

66

008. New York City’s Automated Employment Decision Tool (AEDT) law - December 2022 Update

67

007. A conversation exploring the socio-technical side of AI Ethics with special guest Borhane Blili-Hamelin

68

006. Process Audit for Disparate Impact Testing

69

005. Algorithmic Auditing International Conference by Eticas

70

004. Ethical Risk & Impact Assessments for AI Systems

71

003. What is an Algorithmic Bias Audit?

72

002. NYC Algorithm Hiring Law - Update

73

001. Understanding the NYC Algorithm Hiring Law