Panel #1
17. července 2020
Řečníci
Amir-Hossein Karimi
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Bernhard Schölkopf
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Isabel Valera
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Astrid Bertrand
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Winston Maxwell
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Xavier Vamparys
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Tristan Allard
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Louis Béziaud
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Sébastien Gambs
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Jason T. Lam
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Rohan Bhambhoria
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David Liang
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Xiaodan Zhu
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Samuel Dahan
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Przemysław Pałka
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Roozbeh Yousefzadeh
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O prezentaci
00:45 Algorithmic Recourse: from Counterfactual Explanations to Interventions (Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera) 16:33 Are AI-based Anti-Money Laundering (AML) Systems Compatible with European Fundamental Rights? (Astrid Bertrand, Winston Maxwell, Xavier Vamparys) 34:17 The Gap between Deep Learning and Law: Predicting Employment Notice (Jason T. Lam, Rohan Bhambhoria, David Liang, Xiaodan Zhu, Samuel Dahan) 51:49 Online publication of court records: circumventing the privacy-transparency trade-off (Tristan Allard, Louis Béziaud, Sébastien Gambs) 01:06:10 Social Fairness, Accountability and Transparency of the Data Economy: Using Machine Learning to Combat the Emptiness of Privacy Policies (Przemysław Pałka, Roozbeh Yousefzadeh)00:45 Algorithmic Recourse: from Counterfactual Explanations to Interventions (Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera)
Kategorie
AI & Data Science
Category · 10.8k presentations
O organizátorovi (ICML 2020)
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
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