Pushing Back on AI Hype with Alex Hanna
EPISODE 649
|
OCTOBER
2,
2023
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About this Episode
Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tackling the issues and impacts it has on society. Alex highlights how the hype cycle started, concerning use cases, incentives driving people towards the rapid commercialization of AI tools, and the need for robust evaluation tools and frameworks to assess and mitigate the risks of these technologies. We also talked about DAIR and how they’ve crafted their research agenda. We discuss current research projects like DAIR Fellow Asmelash Teka Hadgu’s research supporting machine translation and speech recognition tools for the low-resource Amharic and Tigrinya languages of Ethiopia and Eritrea, in partnership with his startup Lesan.AI. We also explore the “Do Data Sets Have Politics” paper, which focuses on coding various variables and conducting a qualitative analysis of computer vision data sets to uncover the inherent politics present in data sets and the challenges in data set creation.
About the Guest
Alex Hanna
Distributed AI Research Institute (DAIR)
Resources
- Article: AI Causes Real Harm. Let’s Focus on That over the End-of-Humanity Hype
- Distributed AI Research Institute (DAIR)
- Paper: Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
- Mystery AI Hype Theater 3000 on Apple Podcasts
- Computer Power and Human Reason: From Judgment to Calculation
- Paper: Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa
- Lesan AI
- Te Hiku Media
- Press Release: Turkopticon and The Distributed AI Research (DAIR) Institute Applaud Congressional Letter Holding Big Tech Accountable for Data Worker Abuse
- Paper: On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
- Article: Fair Warning
- Article: A certain danger lurks there’: how the inventor of the first chatbot turned against AI
- Paper: Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
- Article: An eating disorders chatbot offered dieting advice, raising fears about AI in health
- Article: ‘Life or Death:’ AI-Generated Mushroom Foraging Books Are All Over Amazon
- Paper: GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
- Article: Machine Translation Shifts Power
- Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
- Can Language Models Be Too Big? - #467
- A Future of Work for the Invisible Workers in AI with Saiph Savage - #447
- Algorithmic Injustices: Towards a Relational Ethics with Abeba Birhane - #348
