Blog

Bias in AI: Taking the Broad View

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The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, sparked a great deal of it. PULSE proposes a new approach to the image super-resolution problem, i.e. generating a faithful higher-resolution version of a low…

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Last Chance to Enroll - Causal Modeling in ML - Summer 2020

Last Chance to Register: Causal Modeling in ML course

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Reminder: Today is the last day to enroll in Causal Modeling in Machine Learning. Over the past few years, causality and causal modeling has become a very hot topic in machine learning. Yoshua Bengio and other ML luminaries are excited about its potential to help address pressing issues like transparency and bias that limit our…

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TWIML Presents: CVPR 2020

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Thanks to our sponsor! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on Qualcomm Technologies-powered devices. To learn more about what Qualcomm is up to…

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Register Now: Causal Modeling in Machine Learning Webinar (June 25th at 10am PST / 1pm EST)

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Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students: “I liked the course very much. Robert did a great job of reaching out to students to understand their…

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#AmplifyBlackSTEM – A TWIML Playlist

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In solidarity with #AmplifyBlackSTEM, we’ve put together a playlist to do just that. Over the last four years, we’ve had the privilege of speaking with some of the best in both industry and academia. We’re excited today to highlight their immense talent and hard work. We’d also like to highlight the work of Black in…

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AI Fairness Bias and Ethics Playlist - TWIML AI Podcast

Ethics, Bias, and Fairness in AI – A TWIML Playlist

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In a message last week, I addressed the recent death of George Floyd, the protests, and the future we are working towards. While we all have a responsibility to engage in the fight against racism, the ML/AI community has a unique responsibility to ensure that the technologies we produce are fair and responsible and don’t…

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On George Floyd, Empathy, and the Road Ahead

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What a week. Those of you who follow me on Twitter may have seen that, a week ago today, I was expressing my anger over the behavior of Amy Cooper, a white woman who, after being asked to leash her dog in an area of Central Park where this is required, proceeded to call the…

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Banner: Advancing Data Science Careers During the Pandemic

Discussion: Advancing Your Data Science Career During the Pandemic

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In this discussion, we will explore ways that Data Scientists and ML/AI practitioners can continue to advance their careers despite the challenges of the coronavirus pandemic. Our panelists will provide concrete tips, advice, and direction for those just starting out, those affected by layoffs, and those just wanting to move forward in their careers. Though…

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Banner: Is Linguistics Missing from NLP Research

Live Viewing Party: Is Linguistics Missing from NLP Research?

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We are back with another interactive podcast viewing party on Monday, May 18th. This time I’ll be joined by Emily Bender, professor of linguistics at the University of Washington. We’ll begin at 3 o’clock Pacific. Register for reminders and updates below and be sure to add it to your calendar. Additional details follow. Register Now!…

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Mitigating Discrimination and Bias with AI Fairness 360 – Democast #5

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Buen dia! The Democast is BACK! This month, we had the pleasure of chatting with Karthi Natesan Ramamurthy, a research staff member at the IBM TJ Watson Research Center, and one of the architects of today’s demo topic, IBM’s AI Fairness 360 Toolkit. We had the opportunity to get an early look at 360 leading…

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