Ravit Dotan, PhD
Data and AI Ethics
Advisor, Speaker, and Researcher

A list of 12 sources of AI regulation in financial services in the US.

Illustrating how AI can make discrimination worse and how popular bias mitigation algorithms fall short.

Will AI mostly help or mostly harm people? The world is divided. Results from a Gallup survey and some takeaways.

I am so, so excited to share my "Responsible Investing in AI: A Guidebook for VC"! I've been working on it for the last year with...

➤ Imagine this: You are in a meeting, there's a moment of pause in the conversation. You are the only woman and you are asked to speak....

Strategies for responding to mansplaining: for the targets of the mansplaining and for bystanders. ➤ Strategy 1: Expose the Mansplaining...

Paul Melcher asked me 10 AI ethics questions and gave me an opportunity to address questions that are on the minds of many. ➤ You can...

There are mountains of academic literature on both. But I wanted to see what a diverse group thinks about them. The following are...

How can AI cause harm, and which harms are the most important? In particular, which AI risks are end-users most concerned about? Results fro

A list of questions organizations can ask themselves when evaluating AI risks

A blog post about a workshop on responsible investing I led at the UN's Principles for Responsible Investment (PRI) organization.

Here are some highlights from my interview. The full guide is here (My interview is on pages 86-87). ➤ What advice would you give to...

A brief survey of the terrain of regulation relevant to AI

My understanding of AI explainability and some examples.

My understanding of AI fairness and and correction of a common misconception.

I talked about why investors should care about AI ethics on a panel at the AI Ethics International Colloquium

TL;DR: AI ethics can help ensure that the technology has the intended positive impact and it can increase revenue.

The paper in one sentence: Social and political values are deeply embedded in machine learning. Published in FAccT and received an award.

In honor of Juneteenth 2022, I wrote about how bias in AI goes beyond what people often think: Bias in AI is more than bias in datasets.

What is the "long-term" camp in AI ethics? And what does it have in common with other AI ethics groups?