BIAS IN ALGORITHMS
ARTIFICIAL INTELLIGENCE AND DISCRIMINATION #AI #trustworthyAI #DataScience #python #digital #machinelearning CC @Khulood_Almani @MikeNashTech @CurieuxExplorer @SabineVdL @JBarbosaPR @Analytics_699 @BetaMoroney @dr_gulsun https://
fra.europa.eu/en/publication
/2022/bias-algorithm
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MACHINE LEARNING
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Algorithm Bias and Discrimination in Artificial Intelligence Systems
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NLP Research Direction Practical Applications Focus
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I fully agree on my side but there is also an entire part of the NLP research community which is of the opinion that thinking in terms of practical applications is the only way to have a sensible direction and reason for why we are building what we build
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Rethinking Long-term ML Benchmarks and Canonical NLP Applications
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kinda question the value of building long term « tracks » over the years in ML venues. A related thought i have is that « canonical » NLP applications (eg summarization) are maybe actually not what users really want or need and were just progressively crystallized over the years
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Deep Learning Breakthroughs Make Research Agendas Obsolete Quickly
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Maybe one of the most bitter lesson for researchers in DL/ML: an entire research agenda can be rendered moot in a matter of weeks
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Text-davinci-003 results now available in paper appendix
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https://
arxiv.org/abs/2210.11416 Appendix has text-davinci-003 results now -
Deep Learning Progress Continues Across Multiple Dimensions
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Deep learning is making fast progress in some dimensions and not so in others. It's premature to say it has it a wall. E.g., look at what's happened since your article.
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Geoffrey Hinton’s Forward-Forward Algorithm Revolutionizes Neural Network Training
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Geoffrey Hinton’s Forward-Forward Algorithm Charts a New Path for Neural Networks
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AlphaCode Published in Science Magazine
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Proud to see AlphaCode published on @ScienceMagazine and above all proud of the AlphaCode team for their inspiring and pioneering work, and for their collaborative spirit and inclusive practices. https://t.co/lWHmHoR9Yd
— Nando de Freitas (@NandoDF) 8 décembre 2022Proud to see AlphaCode published on @ScienceMagazine and above all proud of the AlphaCode team for their inspiring and pioneering work, and for their collaborative spirit and inclusive practices.
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Generalist Neural Net Implements Classical Computer Science Algorithms
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Impressive to see a generalist neural net implementation of so many of the classical algorithms taught in undergraduate computer science.
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CICERO’s Surprising Ability to Be an Excellent Strategic Ally
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What surprised @polynoamial most about CICERO? Its ability to be a great ally. With built-in strategic reasoning & natural language, #CICERObyMetaAI can understand and help its allies achieve their goals.