Trends & Signals
By: Sarah Hoffman
Explore the latest insights, thought leadership, and research from FCAT®
A Conversation with Juliette Powell: Author of The AI Dilemma
December 6, 2023
In her recent book, coauthored with Art Kleiner, Juliette Powell, an independent researcher, entrepreneur, and keynote speaker at the intersection of technology and business, discusses seven principles for responsible technology. Sarah Hoffman, VP of AI and Machine Learning Research in FCAT, spoke with Juliette about how organizations can embrace responsible technology.
One Year After ChatGPT’s Launch, Has Generative AI Fulfilled its Promise?
November 29, 2023
It’s been a year since the launch of ChatGPT. For large enterprises, the transformational power of generative AI technology has so far been limited. Yet changes are coming to help alleviate some of the current challenges of this technology, and large firms are finding their path forward.
How Generative AI Will Change the Way We Learn
September 8, 2023
While ChatGPT can be a useful learning tool on its own, plugins and new tools that incorporate generative AI can further enhance the learning experience. These improvements will likely have implications that go far beyond the classroom.
Generative AI is Already Making Inroads in Healthcare
July 10, 2023
Generative AI is in its infancy, yet patients are using this technology to understand complex medical issues, get second opinions, and receive support and motivation. Medical professionals also stand to benefit by saving time on documentation and emails. Early implementations in healthcare may offer learnings applicable to the financial services industry and beyond.
Can AI Speed Up Blockchain Development?
April 20, 2023
This article was written in collaboration with Erman Akdogan of Fidelity Enterprise Cybersecurity and Chris McGahon of the Fidelity Center for Applied Technology. All figures were generated in February using ChatGPT (GPT-3.5 model).
AI: The Next Generation
March 8, 2023
We’re in a new era of AI. “It feels like we’re going from spring to summer,” said Jack Clark, a co-chair of Stanford University’s annual A.I. Index Report. “In spring, you have these vague suggestions of progress, and little green shoots everywhere. Now, everything’s in bloom.”1 In less than three years, we’ve seen AI become:
Why all the Fuss about ChatGPT?
February 14, 2023
While most of the AI buzz of 2022 was around AI image generators like DALL-E 2, Midjourney and Stable Diffusion, the year ended with a bang with the release of OpenAI’s new text generator ChatGPT. Attracting over 1 million users just a few days after launch, the app’s performance made headlines with some even comparing the significance of the release to the debut of the iPhone.1 There are good reasons people are talking about this new technology:
2022: The Year of the AI Image Generator
November 22, 2022
While 2021 was the year of monster AI language models and AI text generation, thanks to powerful language models like OpenAI’s GPT-3,1 it seems that 2022 is the year of text-to-image AI systems. We’ve seen AI art before – just last year Sophia the robot’s artwork sold as an NFT for almost $700,0002– but the tools we are seeing now let anyone, regardless of technical proficiency, become an artist, a graphic designer, or an illustrator. And the quality of the output is surprisingly good and will no doubt improve quickly.
Can a Machine Be Moral? A Q&A with Jean-Francois Bonnefon
April 13, 2022
FCAT recently hosted a presentation by psychologist and author Jean-Francois (JF) Bonnefon on his latest book, “The Car That Knew Too Much”. The book discusses a groundbreaking experiment, the Moral Machine, that allowed millions of people from over 200 countries and territories to make choices about life-and-death dilemmas posed by driverless cars. Should they sacrifice passengers for pedestrians? Save children rather than adults? Kill one person so many can live? Following his presentation, FCAT’s Sarah Hoffman caught up with JF to ask a few additional questions about this largest experiment in moral psychology.
Lydia Chilton on AI Creativity: What’s the Big Idea?
March 10, 2022
Can the design process be enhanced or improved by the power of AI? After a recent Artificial Intelligence Club event, Columbia University’s Lydia Chilton sat down with FCAT’s Sarah Hoffman to discuss the potential of AI as a creative tool. Chilton is an Assistant Professor in the Computer Science Department and is an early pioneer in deconstructing complex problems so that crowds and computers can solve them together. Her current research is focused on computation and how AI can help people with design, innovation, and creative problem solving.