Hima Lakkaraju's guest appearances

Hima Lakkaraju

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Jay Shah Podcast

Milind Tambe

Nasrin Mostafazadeh

Sara Hooker

Siddha Ganju

Dennis Mortensen

Rob Walker

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

OwlTail

Deciding whether to do a Ph.D. or not and things to focus on while writing your research thesis.Watch the full podcast here: https://youtu.be/8Ym4oYTd8FoDr. Himabindu Lakkaraju is an Assistant Professor at Harvard University and her major research interests are along the lines of explainability, fairness, and robustness in AI systems. Prior to that she graduated with a Ph.D. from  @Stanford  and has received multiple awards for her research work.Dr. Lakkaraju's homepage: https://himalakkaraju.github.io/About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#explainableai #reliableai #robustai #machinelearning***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

Deciding whether to do a Ph.D. or not and things to focus on while writing your research thesis. Watch the full podcast here: <a href="https://youtu.be/8Ym4oYTd8Fo" rel="nofollow" target="_blank">https://youtu.be/8Ym4oYTd8Fo</a> Dr. Himabindu Lakkaraju is an Assistant Professor at Harvard University and her major research interests are along the lines of explainability, fairness, and robustness in AI systems. Prior to that she graduated with a Ph.D. from  @Stanford  and has received multiple awards for her research work. Dr. Lakkaraju's homepage: <a href="https://himalakkaraju.github.io/" rel="nofollow" target="_blank">https://himalakkaraju.github.io/</a> About the Host: Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Shah: <a href="https://www.linkedin.com/in/shahjay22/" rel="nofollow" target="_blank">https://www.linkedin.com/in/shahjay22/</a> You can reach out to <a href="https://www.public.asu.edu/~jgshah1/" rel="nofollow" target="_blank">https://www.public.asu.edu/~jgshah1/</a> for any queries. Stay tuned for upcoming webinars! #explainableai #reliableai #robustai #machinelearning ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

Doing a PhD & Excelling at Research | Dr. Hima Lakkaraju

Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University. At CVPR, Hima was a keynote speaker at the Fair, Data-Efficient and Trusted Computer Vision Workshop, where she spoke on Understanding the Perils of Black Box Explanations. Hima talks us through her presentation, which focuses on the unreliability of explainability techniques that center perturbations, such as LIME or SHAP, as well as how attacks on these models can be carried out, and what they look like.

AI for High-Stakes Decision Making with Hima Lakkaraju - #387