In this episode, we talk with Phoebe Yao, founder and CEO of Pareto.ai, about fair and ethical data labelling platform aimed at advancing support for AI researchers. The episode addresses data labelers' challenges and stresses the need for higher standards and worker empowerment. We talk about the critical role of domain experts in AI training, the impact of ethical practices on data quality, and the broader implications for the future of work in AI. This episode offers valuable insights into how Pareto.ai supports workers and ensures quality, highlighting often-overlooked ethical concerns in the AI industry. Disclosure: Jeremy Utley is an angel investor in Pareto.ai

Website: Pareto: Premium AI & LLM Training Data Labeled by Elite Teams

00:00 Introduction to Pareto and Ethical Data Labelling
00:31 Spotlight on Pareto's Mission
01:53 Understanding Ethical Data Labelling
02:16 Challenges in the Data Labelling Industry
06:00 Impact of Ethical Practices on AI Training
08:03 The Role of Domain Experts in AI Training
13:28 Adapting to AI's Disruption in the Labor Market
20:56 Ethical Consumption of AI Products
25:44 Practical Uses of AI in Business
29:18 Closing Thoughts and Future of Ethical AI

Disclosure: Jeremy is an investor in Phoebe Yao’s company.

📜 Read the transcript for this episode: Transcript of A sobering talk about the need for ethical data for AI models with Phoebe Yao |

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Henrik: https://www.linkedin.com/in/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

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