How AI will Impact the News with Noah Giansiracusa

In this episode, Professor Noah Giansiracusa, a tenured associate professor of mathematics and data science at Bentley University, joins us to discuss AI’s impact on the news. Professor Noah’s research interests range from algebraic geometry to machine learning to empirical legal studies. He is the author of How Algorithms Create and Prevent Fake News (2021) and has written op-eds for Barron's, Boston Globe, Wired, Slate, and Fast Company. During this interview, Professor Noah Giansiracusa will discuss the benefits and drawbacks of AI as it relates to the creation and dissemination of news. He’ll explore the economic pressures on newsrooms and how AI might provide cost-effective solutions, while also examining the challenges of ensuring factual accuracy in an AI-powered news landscape. Topics: - Overview of guest’s background - How AI will impact the news - The new skills journalists will need to develop and how newsrooms can adapt their workforce strategies - AI’s potential (or lack thereof) to provide cost-effective solutions for these smaller, local news organizations struggling to compete and stay relevant - Ways local and small news organizations can make use of AI - Automation and real-time AI-driven journalism - Using AI to fact-check the news - The long-term impacts of AI on how people consume and understand the news and avoiding filter bubbles and echo chambers - How AI can help improve the fairness, accuracy, and trustworthiness of news, and the challenges involved - Public awareness and perception of AI in the news - The role AI might play in the creation and dissemination of misinformation - Upcoming USA and Europe elections: misinformation generation and misinformation detection - Watermarking, audio fakes, and deepfake detection - Wrapup and how to follow our guest Show Notes: Learn more about Noah Giansiracusa, PhD here: https://www.noahgian.com/ Get his book here: https://link.springer.com/book/10.1007/978-1-4842-7155-1 Learn more about Watermarking AI here: https://www.brookings.edu/articles/detecting-ai-fingerprints-a-guide-to-watermarking-and-beyond/ Learn more about The Coalition for Content Provenance and Authenticity here: https://c2pa.org/ This episode was sponsored by: Ai+ Training https://aiplus.training/ Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering And created in partnership with ODSC https://odsc.com/ The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and Never miss an episode, subscribe now!