Saleema Amershi's guest appearances

Saleema Amershi

Data Stories

Hanselminutes with Scott Hanselman

Microsoft Research Podcast

Nathalie Riche

Riham Mansour

Mark Russinovich

Kevin Scott

Krysta Svore

David Brevik

Arlan Hamilton

Jessica Hullman

Robert Kosara

Michael Gonchar

Sharon Hessney

Donald Glover

Sarah Cooper

Scott Murray

Hans Rosling

OwlTail

There’s an old adage that says if you fail to plan, you plan to fail. But when it comes to AI, Dr. Saleema Amershi, a principal researcher in the Adaptive Systems and Interaction group at Microsoft Research, contends that if you plan to fail, you’re actually more likely to succeed! She’s an advocate of calling failure what it is, getting ahead of it in the AI development cycle and making end-users a part of the process. Today, Dr. Amershi talks about life at the intersection of AI and HCI and does a little AI myth-busting. She also gives us an overview of what – and who – it takes to build responsible AI systems and reveals how a personal desire to make her own life easier may make your life easier too. https://www.microsoft.com/research

There’s an old adage that says if you fail to plan, you plan to fail. But when it comes to AI, Dr. Saleema Amershi, a principal researcher in the Adaptive Systems and Interaction group at Microsoft Research, contends that if you plan to fail, you’re actually more likely to succeed! She’s an advocate of calling failure what it is, getting ahead of it in the AI development cycle and making end-users a part of the process. Today, Dr. Amershi talks about life at the intersection of AI and HCI and does a little AI myth-busting. She also gives us an overview of what – and who – it takes to build responsible AI systems and reveals how a personal desire to make her own life easier may make your life easier too. <a href="https://www.microsoft.com/research" rel="nofollow" target="_blank">https://www.microsoft.com/research</a>

105 - Responsible AI with Dr. Saleema Amershi 

Dr. Saleema Amershi and researchers at Microsoft have published 18 guidelines for Human-AI Interaction that prescribe how an AI system should behave upon initial interaction, as the user interacts with the system, when the system is wrong, and over time. Scott talks with Dr. Amershi about the how and why of these rules and why they are so important.  Guidelines for Human AI Interaction Design Guidelines for Human AI Interaction Design - PDF

Dr. Saleema Amershi and researchers at Microsoft have published 18 guidelines for Human-AI Interaction that prescribe how an AI system should behave upon initial interaction, as the user interacts with the system, when the system is wrong, and over time. Scott talks with Dr. Amershi about the how and why of these rules and why they are so important. <ul> <li><a href="https://www.microsoft.com/en-us/research/blog/guidelines-for-human-ai-interaction-design/" rel="nofollow" target="_blank">Guidelines for Human AI Interaction Design</a></li> <li><a href="https://www.microsoft.com/en-us/research/uploads/prod/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf" rel="nofollow" target="_blank">Guidelines for Human AI Interaction Design - PDF</a></li></ul>

Guidelines for Human-AI Interaction with Dr. Saleema Amershi

[This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider supporting us on Patreon!] How should we interact with machine learning? Is there a way to better understand what machine learning systems do and how? What role can visualization play in machine learning? These are some of the questions we discuss with Saleema Amershi on the podcast this week. Saleema is a Researcher at Microsoft Research AI (MSR AI) where she works on technologies for helping people build and use machine learning systems. On the show we explore the need for interaction in machine learning and discuss some of the fascinating work Saleema has done in this space, as well as what visualization can do to make machine learning more transparent for its users. Enjoy the show!  Links  Saleema Amershi’s home page Saleema’s paper ‘Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets’ Saleema’s paper on ModelTracker ‘ModelTracker: Redesigning Performance Analysis Tools for Machine Learning’  http://datastori.es/wp-content/uploads/2018/02/saleema.m4v

[This podcast is fully supported by our listeners. If you enjoy listening to Data Stories, consider <a href="https://www.patreon.com/datastories" rel="nofollow" target="_blank">supporting us on Patreon</a>!] How should we interact with machine learning? Is there a way to better understand what machine learning systems do and how? What role can visualization play in machine learning? These are some of the questions we discuss with <a href="http://saleemaamershi.com/" rel="nofollow" target="_blank">Saleema Amershi</a> on the podcast this week. Saleema is a Researcher at Microsoft Research AI (MSR AI) where she works on technologies for helping people build and use machine learning systems. On the show we explore the need for interaction in machine learning and discuss some of the fascinating work Saleema has done in this space, as well as what visualization can do to make machine learning more transparent for its users. Enjoy the show! Links <ul> <li>Saleema Amershi’s <a href="http://saleemaamershi.com/" rel="nofollow" target="_blank">home page</a></li> <li>Saleema’s paper ‘<a href="https://www.microsoft.com/en-us/research/wp-content/uploads/2017/04/pn4864-changA.pdf" rel="nofollow" target="_blank">Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets</a>’</li> <li>Saleema’s paper on ModelTracker ‘<a href="http://saleemaamershi.com/papers/amershi.CHI2015.ModelTracker.pdf" rel="nofollow" target="_blank">ModelTracker: Redesigning Performance Analysis Tools for Machine Learning</a>’</li> </ul> <a href="http://datastori.es/wp-content/uploads/2018/02/saleema.m4v" rel="nofollow" target="_blank">http://datastori.es/wp-content/uploads/2018/02/saleema.m4v</a>

115  |  Human-Driven Machine Learning with Saleema Amershi