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What does it really mean for AI governance to be more than just buzzwords—and how do we build systems that are worthy of our trust?
This week on the Tech Humanist Show, we get candid with responsible AI expert and Algorithmic Justice League advisor, Rebekah Tweed. Together, we explore the not-so-glamorous (but oh-so-crucial) world of AI governance—think less “theater,” more real talk on trust, transparency, and protecting our privacy.
Topics covered:
The evolution of responsible AI as a corporate function
Balancing safety and privacy in AI applications
Algorithmic harms in everyday life (hiring, healthcare, security)
Why harm in AI is more than just a technical bug
Organizational trust and accountability in AI governance
Practical evidence of responsible AI practices
The importance of transparency, literacy, and public trust
Building AI governance that is operational—not just performative
Roles for government and open source in shaping responsible AI
What gives hope for the future of AI and public infrastructure
Connect with Rebekah Tweed
Website
LinkedIn
AI Governance Course on LinkedIn Learning
Episode Chapters:
00:04 Introduction to the Tech Humanist Show
00:17 Responsible AI Becomes an Organizational Norm
01:29 Rebekah Tweed’s Journey from Music Industry to AI Governance
03:36 AI’s Impact on the Creative Arts and Early Influences
04:57 The Rise of AI Governance Teams and Job Roles
06:12 Building Responsible Tech Career Development
07:38 What Responsible AI Means in Human Terms
09:36 Algorithmic Harms in Ordinary Life and Public Response
15:38 When AI Harm is a Deeper Systems Problem
18:57 How to Build Genuine, Non-Theatrical AI Governance
25:16 Evidence That AI Governance Is Real
29:12 Cultural Weirdness, Systems Strangeness, and Literacy
35:13 Speed, Trust, and What Leaders Need to Know
37:42 What Gives Hope for a Responsible AI Future
40:22 Outro and Credits
