Surprisingly, fitness just might be easier to achieve during a global pandemic. Almost half are using fitness apps for the first time, and 56% of people actually don't plan to buy back into their gym memberships after the current health crisis. And a staggering 80% of men are exercising more now without access to their gyms than before Covid-19, according to data from Freeletics, an AI-based fitness app with 47 million users in over 160 countries. If accurate, it indicates we're getting more fit without the gym than with it. AI is a big part of that, and so is human psychology, Freeletics CEO Daniel Sobhani told me in a recent episode of the TechFirst podcast.

Fairness ProjectLast week, I moderated a panel at TWIMLcon about how teams and organizations can operationalize responsible AI that combined perspectives from three people from different corners of the tech and AI community. Rachel Thomas is best known as cofounder of fast.ai, a popular free online deep learning course. In recent months, Thomas was named director of a new organization that mixes research, policy, and education called the Center for Applied Data Ethics at University of San Francisco. Guillaume Saint-Jacques is a senior software engineer at LinkedIn's Fairness Project, an applied research team that assesses the performance of the company's AI systems. Parinaz Sobhani is director of machine learning at Georgian Partners, an investor in SaaS startups with its own applied research lab to help portfolio companies apply machine learning.