#161 Fighting for Algorithmic Justice with Dr...

Time series data is everywhere — from inventory systems and energy grids to financial planning and product demand. As data volumes grow, the old ways of building individual forecasting models simply don't scale. How do you forecast hundreds of thousands of products without spendi ...  Show more

Cloud data platforms now offer hundreds of services, plus a growing menu of SQL, NoSQL, and open source options. Unified environments promise a simpler path, but the hard trade-offs—consistency versus scale, single-writer versus sharded, RPO/RTO targets—still matter. In daily wor ...  Show more

In this interview, Dr. Joy Buolamwini argues that algorithmic bias in AI systems poses risks to marginalized people. She challenges the assumptions of tech leaders who advocate for AI “alignment” and explains why some tech companies are hypocritical when it comes to addressing bi ...  Show more

Every time you interact with a targeted advertisement, use a drop-down menu, or scroll through TikTok, you’re engaging with an algorithm. And these algorithms are anything but objective. This week, Meredith Broussard returns to the show for a special two-part episode about algori ...  Show more

We’re back with the second half of our special two-part episode about algorithms and artificial intelligence, featuring returning guest Meredith Broussard. Yesterday, we got the T on ChatGPT, and learned why we can’t trust algorithms to be fair or objective. Today, Jonathan and M ...  Show more

In the first episode of a new, five-part series of Tech Tonic, FT journalists Madhumita Murgia and John Thornhill ask how close we are to building human-level artificial intelligence and whether ‘superintelligent’ AI poses an existential risk to humanity. John and Madhu speak ...