Janelle Shane: Artificial Intelligence
Quick Facts:
- Creator of AIweirdness.com, a popular blog exploring the humorous side of artificial intelligence.
- Author of You Look Like a Thing and I Love You, a bestselling book on AI’s quirks and capabilities.
- Featured in major media outlets including The New York Times, Wired, The Atlantic, and NPR.
- Delivered keynote speeches at leading tech conferences, corporate events, and universities.
- Recognized for making AI accessible and entertaining through science communication.
- Travels from: Denver, CO
- **Fee range: On Request
Keynote Topics
What AI Can Do - and Can't
AI is making headlines and disrupting entire industries. But what IS artificial intelligence, and what is it good at? At her AI humor blog, AiWeirdness.com, Shane watches machine learning algorithms struggle to deal with the complexities of the human world.
From AIs that struggle to invent plausible paint colors, to AIs that struggle to recognize which pictures don’t actually contain giraffes or sheep, the funny failures of AI tell us a lot about their real-world shortcomings as well.
Shane talks about the kinds of problems where AI will succeed, fail, or succeed at solving the wrong problem entirely.
Lessons Learned from Machine Learning Gone Wrong
Through Shane’s weird and hilarious anecdotes, learn about things that give machine learning algorithms trouble (recognizing sheep, counting giraffes, telling jokes) – and the implications these have on deploying machine learning algorithms in the real world.
The Case of the Belligerent Search Engine
Text-generating programs like ChatGPT, Bing chat, Bard, and GPT-4 can generate paragraphs of coherent-seeming text on just about any topic. But why do they sometimes argue with the user, or insist on made-up facts? And what does that mean for applications that use them? Through hilarious examples, Janelle Shane shows how the internet training of large language models (LLMs) comes through in unexpected ways.
Videos
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