AI's strange effects on intuition
Everyone likes to follow their intuition because it’s the ultimate act of trusting oneself.
Arash Rahnama: Explainability, Fairness, and Bias in AI
In this episode, we have a conversation with Arash Rahnama, Head of Applied AI Research at Modzy
Workplace spyware when everyone works from home
WFH surveillance is growing but employers need to move on.
Scott Stephenson: Deep Learning Speech Recognition
In this episode, we have a conversation with Scott Stephenson, Co-founder and CEO of Deepgram, a company which has built an end-to-end deep learning speech recognition system.
Digital surveillance may be inevitable
The math of COVID-19 may mean some level of opt-in tracking is vital to stop repeated outbreaks
Will Griffin: Ethical AI
In this episode, I have the pleasure of talking with Will Griffin, Chief Ethics Officer of Hypergiant, an Austin Texas-based AI product and services company.
Can AI help us think better now?
Humans think in terms of 1,2,3,4 lots and lots, while machines think in billions.
Chelsea Barabas: Bias & Power in AI
In this episode, I have the pleasure of interviewing Chelsea Barabas a PhD candidate at MIT’s Media Lab. We talk about her work on bias in the criminal justice system as well as her most recent work applying the concept of “studying up” from anthropology to the data science world.
COVID-19, health information, technology, AI
A bumper issue including privacy, safety, barriers, and opportunities.
Highlights from AI's power problem
My key takeaways from the series I wrote for Quartz about AI's Power Problem.
Are AI ethicists making any difference?
In this episode, Dave interviews Helen about her recent article in Quartz, “Are AI ethicists making any difference?”
We can’t address bias in AI without considering power
The most dangerous AI bias is the bias of the more powerful over the less powerful.