Beyond The Prompt - How to use AI in your company

A sobering talk about the need for ethical data for AI models with Phoebe Yao

Aug 12, 2024

Phoebe Yao, founder and CEO of Pareto.ai, discusses her platform dedicated to ethical data labeling for AI. She shares insights on the challenges faced by data labelers and the importance of empowering them. The conversation highlights the critical role of domain experts in AI training and the necessity of ethical practices for quality data. Yao also addresses fears of job displacement in the AI landscape and emphasizes how consumers can influence ethical standards through informed choices, shedding light on the often-overlooked human cost of data labeling.

31:15

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Episode guests

Phoebe Yao

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Episode notes

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Quick takeaways

Ethical data labeling enhances worker empowerment by fostering trust and ensuring better compensation, crucial for high-quality AI training.

Incorporating domain experts into the data labeling process improves AI model accuracy and counters stereotypes about traditional labeling roles.

Deep dives

The Importance of Ethical Data Labeling

Ethical data labeling is crucial in ensuring a fair working environment for data workers who contribute to training AI models. Traditionally, data labeling platforms have suffered from poor treatment of workers, such as arbitrary cancellations and lack of communication, leading to mistrust and exploitation. For example, incidents like the sudden suspension of access for thousands of workers in multiple African countries highlight the precarious nature of this work. Building an ethical platform aimed at better compensation and agency for these workers not only fosters trust but also encourages higher-quality output in their projects.

Intro

2min

Ethics and Challenges in AI Data Labeling

17min

Navigating Job Displacement Fears in the Age of AI

2min

Ethical Consumption in the AI Landscape

5min

The Human Cost of AI Data Labeling

6min

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

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.

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

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

Show edited by Emma Cecilie Jensen.

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