The State of Explainability: Impressions from Partnership on AI (PAI)’s Workshop in NYC

Two weeks ago, I had the opportunity to spend a day with 40 researchers, technologists, regulators, policy-makers, lawyers, and social scientists at PAI’s workshop on Explainability in ML.  PAI is a nonprofit that collaborates with over 100 organizations, across academic, governmental, industrial, and nonprofit sectors, to evaluate the social impact of artificial intelligence and to … Continue reading “The State of Explainability: Impressions from Partnership on AI (PAI)’s Workshop in NYC”

Explainable AI Podcast: Founder of AIEthicist.org, Merve Hickok, explains the importance of ethical AI and its future

We recently chatted with Merve Hickok, Founder of AIEthicist.org and Lighthouse Career Consulting. Take a listen to the podcast below or read the transcript. (Transcript lightly edited for clarity.) Listen to all the Explainable AI Podcasts here Fiddler: Welcome to the Fiddler Explainable AI podcast. My name is Anusha Sethuraman. Today I have with me Merve Hickok, … Continue reading “Explainable AI Podcast: Founder of AIEthicist.org, Merve Hickok, explains the importance of ethical AI and its future”

FAccT 2020 – Three Trends in Explainability

Last month, I was privileged to attend the ACM Fairness, Accountability, and Transparency (FAccT) conference in Barcelona on behalf of Fiddler Labs. (For those familiar with the conference, notice the new acronym!) While I have closely followed papers from this conference, this was my first time attending it in person.  It was amazing to see … Continue reading “FAccT 2020 – Three Trends in Explainability”

Responsible AI With Model Risk Management

The desire among financial institutions to better mitigate risk gained renewed prominence as a result of the financial crisis of 2008. Subsequent regulatory and governance requirements fostered interest in risk modeling and sophisticated forecasting based on artificial intelligence (AI) to improve outcomes. It now seems common to have AI-driven models supporting decision making related to … Continue reading “Responsible AI With Model Risk Management”

Explainable AI goes mainstream. But who should be explaining?

Bias in AI is an issue that has really come to the forefront in recent months — our recent blog post discussed the Apple Card/Goldman Sachs alleged bias issue. And this isn’t an isolated instance: Racial bias in healthcare algorithms and bias in AI for judicial decisions are just a few more examples of rampant … Continue reading “Explainable AI goes mainstream. But who should be explaining?”