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Showing episodes and shows of
Cynthia Rudin
Shows
Resoundingly Human
Behind the scenes with the #INFORMS2024 Plenaries: AI Fireside Chat
We’re continuing our countdown to the 2024 INFORMS Annual Meeting, in Seattle, Washington, October 20-23, when more than 6,000 INFORMS members, students, prospective employers and employees, and academic and industry experts will share the ways O.R. and analytics are fueling Smarter Decisions for a Better World. In this episode, I’m joined by Cynthia Rudin, with Duke University, Charles Isbell, with the University of Wisconsin, and Michel Littman, with the National Science Foundation, for a preview of their plenary session, “Making the Most of this AI Moment: A Fireside Chat.” Charles serves as the provost and vice...
2024-10-21
39 min
The North American Friends Movie Club
The Silence Of The Lambs (1991)
Brent, Nate, and Kate pair beans and wine with the 1991 American Psychological Horror film The Silence of the Lambs (1991) starring:Jodie Foster as Clarice StarlingAnthony Hopkins as Dr. Hannibal LecterScott Glenn as Jack CrawfordTed Levine as Jame "Buffalo Bill" GumbAnthony Heald as Dr. Frederick ChiltonBrooke Smith as Catherine MartinDiane Baker as U.S. Senator Ruth MartinKasi Lemmons as Ardelia MappFrankie Faison as Barney MatthewsTracey Walter as LamarCharles...
2023-07-13
1h 06
Computing Up
The Understandable Cynthia Rudin
Cynthia Rudin, the Earl D. McLean, Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics,and Biostatistics & Bioinformatics at Duke University (🔗, 🔗, 🔗), joins Michael and Dave for a fast and feisty conversation about how to make machines we can understand and control, with high-stakes examples like predicting power failures in New York City.
2023-02-18
51 min
Harvard Data Science Review Podcast
Data Science for Criminal Justice: Can We Avoid Black Box Algorithms for High-Stake Decisions?
In this episode we examine the use of secret or black box algorithms for high-stake decisions, particularly in the criminal justice system. How do they factor in the decisions made every day by state and federal courts concerning bail, sentencing, and parole? Are black box algorithms fair and unbiased? Do they help counteract or support societal prejudices? Is their use in criminal justice cases serving the public’s best interest? We discuss these issues and more with two experts on the topic: Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bio...
2022-01-25
41 min
Experiencing Data w/ Brian T. O’Neill (UX for AI Data Products, SAAS Analytics, Data Product Management)
082 - What the 2021 $1M Squirrel AI Award Winner Wants You To Know About Designing Interpretable Machine Learning Solutions w/ Cynthia Rudin
Episode Description As the conversation around AI continues, Professor Cynthia Rudin, Computer Scientist and Director at the Prediction Analysis Lab at Duke University, is here to discuss interpretable machine learning and her incredible work in this complex and evolving field. To begin, she is the most recent (2021) recipient of the $1M Squirrel AI Award for her work on making machine learning more interpretable to users and ultimately more beneficial to humanity. In this episode, we explore the distinction between explainable and interpretable machine learning and how black boxes aren’t necessarily “better” than more interpretable models. Cynthia offers...
2022-01-11
37 min
Utilizing Tech: The Podcast Series About Emerging Technology
3x16: Utilizing AI in 2022 with Chris Grundemann and Frederic Van Haren
AI is now widespread, and companies are starting to look at the real-world impact of machine learning. In this special episode of the Utilizing AI podcast, the three hosts look forward to AI in 2022 and revisit some of our guest questions from season three. First, we turn to the specific markets and verticals served by AI applications. We feel that datasets and models will increasingly be focused on specific business uses instead of being general-purpose tools. Next, we consider how the AI industry is increasingly concerned about ethics, bias, and privacy of data. Industry leaders like Timnit Gebru and...
2022-01-04
35 min
The Nonlinear Library: Alignment Forum Top Posts
Search versus design by Alex Flint
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Search versus design, published by Alex Flint on the AI Alignment Forum. This work was supported by OAK, a monastic community in the Berkeley hills. It could not have been written without the daily love of living in this beautiful community. The work involved in writing this cannot be separated from the sitting, chanting, cooking, cleaning, crying, correcting, fundraising, listening, laughing, and teaching of the whole community. This write-up benefited from feedback...
2021-12-04
1h 15
Resoundingly Human
Resoundingly Human: The new Nobel: INFORMS member awarded top AI prize
On this episode, I have the pleasure of speaking with an INFORMS member whose work is truly saving lives, saving money, and solving [problems. Cynthia Rudin, professor of computer science and engineering at Duke University, has been awarded the 2021 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, an honor considered to be the New Nobel Prize. This award recognizes positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects. In particular, her work with Con Edison, Massachusetts General Hospital and the Cambridge Police Department played a key role...
2021-11-12
11 min
CodeStack
[CodeStack News] EUA “sem chances” contra China / “Prêmio Nobel” de IA / Scraping de fotos
• Ex-chefe de tecnologia do Pentágono afirma que EUA “não tem chance” contra tecnologia da China • Cynthia Rudin recebe o “rêmio Nobel” de inteligência artificial de 2021 • Clearview AI admite que já escaneou mais de 10 bilhões de fotos de redes sociais para sua ferramenta de reconhecimento facial • França e nove outros países europeus querem rotular energia nuclear como fonte de baixo carbono • Estudo mostra que robôs sociais melhoram a perspectiva de crianças hospitalizadas • Constelação orbital Starlink também podem servir como GPS Estas notícias foram extraídas da newsletter...
2021-10-12
03 min
ScienceWhys: Questions at the Confluence of Science and Ethics
I’m Trying to Predict the Future in Ways that a Human can Understand
Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science Director, Prediction Analysis Lab Duke University
2021-09-02
1h 17
Data Science at Home
2 effective ways to explain your predictions (Ep. 163)
Our Sponsor Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business. References Fisher, Aaron, Cynthia Rudin, and Francesca Dominici. “Model Class Reliance: Variable importance measures for any machine learning model class, from the ‘Rashomon’ perspective.” http://arxiv.org/abs/1801.01489 (2018). Python SHAP https://github.com/slundberg/shap
2021-08-03
24 min
Department of Statistics
Do Simpler Models Exist and How Can We Find Them?
Cynthia Rudin (Duke University) gives a OxCSML Seminar on Friday 14th May 2021. Abstract: While the trend in machine learning has tended towards more complex hypothesis spaces, it is not clear that this extra complexity is always necessary or helpful for many domains. In particular, models and their predictions are often made easier to understand by adding interpretability constraints. These constraints shrink the hypothesis space; that is, they make the model simpler. Statistical learning theory suggests that generalization may be improved as a result as well. However, adding extra constraints can make optimization (exponentially) harder. For instance it is much easier...
2021-07-29
56 min
AIToday Live
S02E04 - Onderzoek naar Explainable AI met Ouren Kuiper (Lectoraat HU)
In deze aflevering spreken we met Ouren Kuiper, onderzoeker AI bij Utrecht University of Applied Sciences. Ouren heeft een onderzoek uitstaan over het gebruik van Explainable AI. We bespreken de voorlopige resultaten van dit onderzoek met hem.In deze aflevering o.a.:Co-pilot GitHubTNO proeftuinAI en De NachtwachtOnderzoek naar gebruik van Explainable AIWelke tools en platformen worden er gebruikt voor Explainable AI in de markt?Wat zijn de valkuilen bij Explainable AI?LinksPaper ‘Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead” - Cy...
2021-07-19
48 min