Saima Fancy, a privacy specialist, returns to the show for a discussion on the emerging concept and benefits of designing technological processes that keep the “Human in the Loop.” Now, when the complexities of algorithms are multiplying with every new feature and every new interface, it’s critical for good and safe outcomes that humans are able to oversee and, if necessary, override automated processes. Saima calls for a global discussion that focuses specifically on Human in the Loop, and it’s a call that’s especially crucial now, when AI agents, LLMs, and other technological processes are rapidly gaining control of our daily living. The list of functions that we cede to AI grows by the day, and now includes reading, writing, shopping, social calendaring, delivery ordering, and control of household appliances. In this episode, we outline the emerging issues and opportunities that make today the best time to begin figuring out how we remain in our own technological loop.

2024 was a record-setting year for elections, with nearly half the world’s voters eligible to cast ballots in over 60 nations and the European Union. In some cases, social media and other technological tools have been used to enable bad actors, misinformation, and other challenges to the fairness and transparency of democratic processes. This increases the importance of election monitoring, pioneered by former U.S. President Jimmy Carter who established the Carter Center in 1982. Dr. Ian Batista, who holds a PhD in political science and has worked with the Carter Center in monitoring three elections on two continents, speaks about differences in voting processes and technologies, the importance of voters maintaining trust in the mechanisms, and the ways that technology is being used sometimes to hinder and sometimes to help the exercise of democracy.

Adio Dinika is a political scientist and researcher for DAIR, the Distributed AI Research Institute that was founded in 2021 by Timnit Gebru after her termination as technical co-lead of the company’s Ethical Artificial Intelligence Team. Adio takes us behind the scene to give us a sense of the working conditions of many thousands of people, mainly in the lower-wage areas of the global south, whose task it is to filter massive data sets for machine learning and software applications that we use every day, by labelling images and flagging harmful content. Adio discusses the sometimes desperate challenges that these people face, and the work that DAIR is doing to bring the issues to public awareness and advocate for fair treatment of the humans who make AI possible.