ΑΙhub.org
 

Radical AI podcast: the limitations of ChatGPT with Emily M. Bender and Casey Fiesler


by
09 March 2023



share this:
Photos of Emily and Casey with text The Limitations of ChatGPT

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode, Dylan and Jess unpack the limitations of ChatGPT with Emily M. Bender and Casey Fiesler.

Listen to the episode below:


The limitations of ChatGPT

In this episode, we unpack the limitations of ChatGPT. We interview Dr Emily M. Bender and Dr Casey Fiesler about the ethical considerations of ChatGPT, bias and discrimination, and the importance of algorithmic literacy in the face of chatbots.

Emily M. Bender is a Professor of Linguistics and an Adjunct Professor in the School of Computer Science and the Information School at the University of Washington, where she has been on the faculty since 2003. Her research interests include multilingual grammar engineering, computational semantics, and the societal impacts of language technology. Emily was also recently nominated as a Fellow of the American Association for the Advancement of Science (AAAS).

Casey Fiesler is an associate professor in Information Science at University of Colorado Boulder. She researches and teaches in the areas of technology ethics, internet law and policy, and online communities. Also a public scholar, she is a frequent commentator and speaker on topics of technology ethics and policy, and her research has been covered everywhere from The New York Times to Teen Vogue.

Follow Emily on Twitter @emilymbender or emilymbender@dair-community.social on Mastodon.

Follow Casey on Twitter @cfiesler or cfiesler@hci.social on Mastodon or @professorcasey on TikTok.

If you enjoyed this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at @radicalaipod.

About Radical AI:

Hosted by Dylan Doyle-Burke, a PhD student at the University of Denver, and Jessie J Smith, a PhD student at the University of Colorado Boulder, Radical AI is a podcast featuring the voices of the future in the field of Artificial Intelligence Ethics.

Radical AI lifts up people, ideas, and stories that represent the cutting edge in AI, philosophy, and machine learning. In a world where platforms far too often feature the status quo and the usual suspects, Radical AI is a breath of fresh air whose mission is “To create an engaging, professional, educational and accessible platform centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate to co-create the field of Artificial Intelligence Ethics.”

Through interviews with rising stars and experts in the field we boldly engage with the topics that are transforming our world like bias, discrimination, identity, accessibility, privacy, and issues of morality.

To find more information regarding the project, including podcast episode transcripts and show notes, please visit Radical AI.




The Radical AI Podcast




            AIhub is supported by:


Related posts :



New AI tool generates realistic satellite images of future flooding

  24 Dec 2024
The method could help communities visualize and prepare for approaching storms.

2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  20 Dec 2024
We collate our interviews with the 2024 cohort of doctoral consortium participants.

Interview with Andrews Ata Kangah: Localising illegal mining sites using machine learning and geospatial data

  19 Dec 2024
We spoke to Andrews to find out more about his research, and attending the AfriClimate AI workshop at the Deep Learning Indaba.

#NeurIPS social media round-up part 2

  18 Dec 2024
We pick out some highlights from the second half of the conference.

The Good Robot podcast: Machine vision with Jill Walker Rettberg

  17 Dec 2024
Eleanor and Kerry talk to Jill about machine vision's origins in polished volcanic glass, whether or not we'll actually have self-driving cars, and a famous photo-shopped image.

Five ways you might already encounter AI in cities (and not realise it)

  13 Dec 2024
Researchers studied how residents and visitors experience the presence of AI in public spaces in the UK.

#NeurIPS2024 social media round-up part 1

  12 Dec 2024
Find out what participants have been getting up to at the Neural Information Processing Systems conference in Vancouver.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association