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EPFL IC proslijedio/la je Tweet
Today I learned there are companies that monitor and grade twitter likes (
@Fama_Tech) to sell as background checks. Never underestimate the lengths companies will go to profit from surveilling you.https://twitter.com/kmlefranc/status/1223416915374133254 …
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Congratulations to IC PhD students Merlin Nimier-David (
@merlin_ND) & Panagiotis Sioulas, recipients of the 1st@Facebook Fellowships awarded to@EPFL_en students! Read about their work in#computergraphics & structured#data stores: https://actu.epfl.ch/news/two-ic-students-receive-epfl-s-first-facebook-fell/ …@ailamaki@wenzeljakobHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
EPFL IC proslijedio/la je Tweet
Aaaaand... This is it! Today was the last day of the winter exam session at
#EPFL. I hope it went well for all of our students! Now: take a break, rest your brain, and see you on campus next semester!pic.twitter.com/AP2E5JqooK
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This concludes the
@appliedmldays 2020 at@EPFL! Thanks to the organizers, the speakers and everybody who participated in the workshops for this amazing event! See you next year!#AMLD2020pic.twitter.com/PsSeT9ni43
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Traditionally, we have governance by the state, by the market or some hybrid governance. Governance hybrid by platform might be added in the future, as well as governance by design.
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Vima also focuses on speech processing, ML and psychology to unlock new opportunities in HR.
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What is important is to make a distinction between governance of AI and governance via AI. The first one is a risk management perspective, a negative perspective on AI. The second one is a perspective where AI brings solution, a positive perspective on AI.
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They organized the first AI Governance Forum on the 23rd March 2019. They were invited by the Pope in Vatican for the Coference for Common Good.
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Eva Thelisson from the AI Transparency Institute is talking next. Their vision is to bridge the gap between scientists, the general public and the policy makers.pic.twitter.com/bpLaoFLpLH
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AI &
#HumanResources:@Philippe_Lab presents how his company Vima combines the latest advances in computer vision and the applications of#AI in recruitment and organizational development.pic.twitter.com/HKU03BRlSL
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IBM Policy Lab focuses on leveraging technology to tackle some of the most pressing issues of society, tech can improve civil society while protecting individual privacy, and for AI to be truly inclusive, it must be understood by people from all backgrounds and education levels
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It's a symbiotic relationship between men and machine, where we have to make the machine clever so that it delivers something clever. We have to decide what purpose the machine is made for.
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We, as technology providers, need to care about the fact that this technology is used in a sustainable, accountable and responsible way, the user only wants it to work.
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We will not be able to solve our most pressing problems by ourselves. However, do we ever question AI ? Why do we need AI ? Well for IBM, we need it to produce high quality outputs faster than any human every will.
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The panel continues with Anna Wippel from
@IBM talking about how IBM implements policies, regulations and laws in a pragmatic, inclusive way by designpic.twitter.com/eX4RPiNU3E
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AI &
#SocialPolicy:@tomwsymons talked about experiences with#AI in the administration of public services in the United Kingdom!pic.twitter.com/DRjmne2ULU
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Nestlé AI ethics principles are based on Nestlé values: transparency & explainability, diversity, non-discrimination & fairness, privacy & security, environmental & social wellbeing, accountability and technical robustness.pic.twitter.com/NCcONyKGcH
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There are huge investments in this transformation, they believe this is the future. Revolution is not coming as fast as the technology. They have to guess what are going to be the consumers' expectations. Decisions are based on principles, on what is good but also what is right.
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Transforming end to end an entire company using new technologies is a big challenge. Nestle is a cognitive enterprise where unbiased machine intelligence capabilities are extensively leveraged to anticipate, automate, respond, react, decide and deliver value to consumers.
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David Campos from
@Nestle is also here to discuss AI ethics principles.pic.twitter.com/A71x5NkQzf
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