Search for tag: "artificial intelligence"

10 Media

03:00 Targeted system optimization using inverse… Targeted system optimization using inverse design, Prerit Terway, G4 (3958781)	Targeted system optimization using inverse design, Prerit Terway, G4 (3958781) Most systems have multiple objectives and constraints. For example, a company making a smartphone needs to increase the battery life, minimize the lag, and maximize the bandwidth. Solutions to these… artificial intelligence machine learning active learning optimization step objectives process specifications methods specification response input solution solutions object method listening importance request gpus repair systems nuisance From Research Princeton Research Day 0 likes 25 plays Date April 27th, 2022 Speaker Prerit Terway Department Electrical and Computer Engineering
57:27 CITP Seminar Jaime Fernández Fisac -… CITP Seminar Jaime Fernández Fisac - Machine Bullshit: Emergent Manipulative Behavior in Language Agents	CITP Seminar Jaime Fernández Fisac - Machine Bullshit: Emergent Manipulative Behavior in Language Agents Our research group is currently trying to shed light on what we think is one of the most pressing dangers presaged by the increasing power and reach of AI technologies. The conjunction of… artificial intelligence language modeling systems safety features fact human cases label ai truth humans bird image idea sort statements statement interaction lot machine questions From CI Center for Information Technology Policy 0 likes 4 plays Date March 29th, 2022 Speaker Jaime Fernández Fisac Department Center for Information Technology Policy Location Virtual
49:05 CITP Seminar Emily Denton - Data, Power, and AI… CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure	CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used to train and evaluate machine learning models have come under increased… bias discrimination artificial intelligence data sets algorithms machine learning dataset kind machine datasets field lot benchmarks benchmark things learning task competition model tasks thing models folks imagenet problem kinds From CI Center for Information Technology Policy 0 likes 6 plays Date April 5th, 2022 Speaker Emily Denton Department Center for Information Technology Policy Location Virtual
01:00 ECE Department Chair Video ECE Department Chair Video	ECE Department Chair Video Professor James Sturm, chair of the Department of Electrical and Computer Engineering, welcomes prospective members of the ECE community and provides a brief overview of activity across the… energy engineering career optics ai data centers computer engineering electrical engineering machine learning robotics artificial intelligence smart grid clean energy environment wireless From Scott Lyon 0 likes 55 plays Date March 21st, 2022 Speaker James Sturm Department Department of Electrical and Computer Engineering
01:00:31 CITP Seminar: Ryan Calo - Modeling Through CITP Seminar: Ryan Calo - Modeling Through	CITP Seminar: Ryan Calo - Modeling Through Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an… regulation policy artificial intelligence modeling machine learning privacy technology government things analysis kinds kind models cost systems idea model efficiency benefit tools paper lot problems question thing law From CI Center for Information Technology Policy 0 likes 17 plays Date February 15th, 2022 Speaker Ryan Calo Department Center for Information Technology Policy Location Virtual
47:22 CITP Seminar Michael Madaio - Towards… CITP Seminar Michael Madaio - Towards Human-Centered Design of Responsible AI	CITP Seminar Michael Madaio - Towards Human-Centered Design of Responsible AI Despite widespread awareness that AI systems may cause harm to marginalized groups—and in spite of a growing number of principles, toolkits, and other resources for fairness and ethics in… artificial intelligence ethics fairness systems ai teams stakeholders practitioners participation performance things approaches process issues harms participants study questions deployment disparities checklist checklists From CI Center for Information Technology Policy 0 likes 6 plays Date February 8th, 2022 Speaker Michael Madaio Department Center for Information Technology Policy Location Virtual
52:56 CITP Seminar Peter Singer and Yip Fai Tse - AI… CITP Seminar Peter Singer and Yip Fai Tse - AI Ethics: The Case for Including Animals	CITP Seminar Peter Singer and Yip Fai Tse - AI Ethics: The Case for Including Animals There is broad agreement about the need for the development and application of AI to be subject to ethical guidelines and constraints. Equally, there is today little dissent from the view that the… artificial intelligence ethics animals ai factory farming animal impact farms thing farm humans meat vehicles question impacts suffering slide welfare fish problem From CI Center for Information Technology Policy 0 likes 17 plays Date December 7th, 2021 Speaker Peter Singer and Yip Fai Tse Department Center for Information Technology Policy Location Virtual
49:43 CITP Seminar: Alex Hanna - Beyond Bias:… CITP Seminar: Alex Hanna - Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data	CITP Seminar: Alex Hanna - Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied to automated decision-making systems. However, these… bias artificial intelligence datasets machine learning image dataset images sets kind imagenet machine model vision computer challenge authors tasks categories learning benchmark paper infrastructure ai From CI Center for Information Technology Policy 0 likes 14 plays Date November 9th, 2021 Speaker Alex Hanna, Google
44:43 CITP Seminar: Olga Russakovsky - Fairness in… CITP Seminar: Olga Russakovsky - Fairness in Visual Recognition: Redesigning the Datasets, Improving the Models and Diversifying the AI Leadership	CITP Seminar: Olga Russakovsky - Fairness in Visual Recognition: Redesigning the Datasets, Improving the Models and Diversifying the AI Leadership Computer vision models trained on unparalleled amounts of data have revolutionized many applications. However, more and more historical societal biases are making their way into these seemingly… artificial intelligence computer dataset vision bias image photos models lot sort kind fairness images things ai kinds model gender categories systems questions From CI Center for Information Technology Policy 0 likes 43 plays Date September 14th, 2021 Speaker Olga Russakovsky Department Princeton University, Department of Computer Science
01:00:52 [email protected] - Panel 3: Big Data and AI in… [email protected] - Panel 3: Big Data and AI in Fintech	[email protected] - Panel 3: Big Data and AI in Fintech Panel 3: Big Data and AI in Fintech Moderator: Hamid Biglari (former Citigroup) Panelists: Gunnar Carlsson (Ayasdi), Andrew Choi (Predata), Mark Higgins (Beacon) Princeton University April 28, 2017 fintech [email protected] big data ai artificial intelligence mark higgins andrew choi gunnar carlsson hamid biglari From Broadcast Broadcast Center Staff 0 likes 121 plays