The TED AI Show

We’ve had conversations about AI’s online influence on politics, from deepfakes to misinformation. But AI can also have profound effects on hardware – especially when it comes to national security and military capabilities like weapons and stealth technologies. Kathleen Fisher is an office director at DARPA, the Defense Advanced Research Projects Agency tasked with the research and development of emerging technologies for use by the U.S. military. Despite its bureaucratic name, DARPA is anything but conventional – and they’re solving problems that are thrillingly complex. Kathleen shares how her team employs nimble thinking to understand the state of AI across the globe. Then, she and Bilawal discuss the strategies needed to embrace the possibilities –and challenges– of AI now, and what we need to do to build a sustainable future.For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcripts 

Many people associate innovation with secrecy—privately toiling away on a project until you're ready to share it with the world. While that may work for some, there's a benefit to putting all your cards on the table. Bilawal sits down for a conversation with Thomas Wolf, whose company Hugging Face pivoted from privately building an AI chatbot to sharing all of its knowledge with a growing online community. Thomas discusses the history of Hugging Face, why embracing open source development has shifted the trajectory of AI, and how open source can challenge existing power structures in the AI world.

From vetting resumes to screening candidates, many employers are using AI tools to identify top talent. But what happens when companies start relying on AI to help them decide who to hire or promote…and who to fire? Bilawal speaks with journalist Hilke Schellmann, whose research on the rapidly growing use of AI in the workplace highlights where algorithms are helping – and hurting – business. Hilke shares the surprising (and not surprising) ways AI works in the hiring process, and argues that transparency, regulation, and oversight are essential if AI is going to actually benefit employees and employers. For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcripts  

Llama is Meta’s Large Language Model trained on over 15 trillion tokens of publicly available information. It’s available to anyone – from people making custom fan-made entertainment on a smartphone… to, potentially, complex projects that may not have the public’s well-being in mind. So if Llama is such a widely available and powerful product, why is Meta releasing it – for free? Bilawal chats with Meta’s own Vice President of Product, Ragavan Srinivasan, to discuss the pressing questions around Llama’s benefits and risks.For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcripts