Managing extreme AI risks amid rapid progress

Managing extreme AI risks amid rapid progress

Mostra altre versioni (1)

Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increases in capabilities and autonomy may soon massively amplify AI's impact, with risks that include large-scale social h...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Bengio, Y, Hinton, G, Yao, A, Song, D, Abbeel, P, Darrell, T, Harari, YN, Zhang, Y-Q, Xue, L, Shalev-Shwartz, S, Hadfield, G, Clune, J, Maharaj, T, Hutter, F, Baydin, AG, McIlraith, S, Gao, Q, Acharya, A, Krueger, D, Dragan, A, Torr, P, Russell, S, Kahneman, D, Brauner, J, Mindermann, S
Natura:	Internet publication
Lingua:	English
Pubblicazione:	2023

Documenti analoghi

Managing extreme AI risks amid rapid progress
di: Bengio, Y, et al.
Pubblicazione: (2024)

The self-extracted pacemaker system
di: Bridget McIlraith, IBHRE, CCDS, et al.
Pubblicazione: (2024-09-01)

Alpha MAML: Adaptive model-agnostic meta-learning
di: Behl, H, et al.
Pubblicazione: (2019)

KL guided domain adaptation
di: Nguyen, AT, et al.
Pubblicazione: (2021)

KL guided domain adaptation
di: Nguyen, AT, et al.
Pubblicazione: (2021)

What’s ploidy got to do with it? Understanding the evolutionary ecology of macroalgal invasions necessitates incorporating life cycle complexity
di: Stacy A. Krueger‐Hadfield
Pubblicazione: (2020-03-01)

An Exit Strategy from the Covid-19 Lockdown based on Risk-sensitive Resource Allocation
di: Shalev-Shwartz, Shai, et al.
Pubblicazione: (2020)

Can we Contain Covid-19 without Locking-down the Economy?
di: Shalev-Shwartz, Shai, et al.
Pubblicazione: (2020)

A KORLÁTOZOTT RACIONALITÁS FELTÉRKÉPEZÉSE AZ INTUITÍV DÖNTÉSEK ÉS VÁLASZTÁSOK SZEMPONTJÁBÓL II.
di: DANIEL KAHNEMAN
Pubblicazione: (2020-08-01)

Mycorrhiza has a direct effect on reactive oxygen metabolism of drought-stressed citrus
di: Q.S. Wu, et al.
Pubblicazione: (2009-10-01)

Understanding machine learning : from theory to algorithms /
di: Shalev-Shwartz, Shai, author, et al.
Pubblicazione: (2014)

Long-term efficacy and safety of adalimumab in 4-12 year old patients with juvenile idiopathic arthritis
di: Wouters C, et al.
Pubblicazione: (2011-09-01)

Thinking, Fast and Slow /
di: Kahneman, Daniel, 1934-, author 655360
Pubblicazione: ([201)

Belief in the law of small numbers /
di: 279550 Tversky, Amos, et al.

AutoSimulate: (Quickly) learning synthetic data generation
di: Behl, HS, et al.
Pubblicazione: (2020)

Adversarial metric attack and defense for person re-identification
di: Bai, S, et al.
Pubblicazione: (2020)

The Tension Between the Mathematical and Metaphysical Strands of Maupertuis’ Principle of Least Action
di: Yannick Van den Abbeel
Pubblicazione: (2017-06-01)

On the prediction of solar activity using different neural network models
di: F. Fessant, et al.

On the prediction of solar activity using different neural network models
di: F. Fessant, et al.
Pubblicazione: (1996-01-01)

Bottom-up top-down cues for weakly-supervised semantic segmentation
di: Hou, Q, et al.
Pubblicazione: (2018)

Estimating the impact of coordinated inauthentic behavior on content recommendations in social networks
di: Mehta, S, et al.
Pubblicazione: (2022)

Happiness by Design : Finding Pleasure and Purpose in Everyday Life /
di: Dolan, Paul, author, et al.
Pubblicazione: (2014)

A KORLÁTOZOTT RACIONALITÁS FELTÉRKÉPEZÉSE AZ INTUITÍV DÖNTÉSEK ÉS VÁLASZTÁSOK SZEMPONTJÁBÓL I.
di: DANIEL KAHNEMAN, et al.
Pubblicazione: (2020-08-01)

Weakly- and semi-supervised panoptic segmentation
di: Li, Q, et al.
Pubblicazione: (2018)

Holistic, instance-level human parsing
di: Li, Q, et al.
Pubblicazione: (2017)

Seasonal variation in SARS-CoV-2 transmission in temperate climates: A Bayesian modelling study in 143 European regions.
di: Tomáš Gavenčiak, et al.
Pubblicazione: (2022-08-01)

Tribological performance of tributylmethylammonium bis(trifluoromethylsulfonyl)amide as neat lubricant and as an additive in a polar oil
di: R. González, et al.
Pubblicazione: (2018-11-01)

Kuando muncho eskurese es para amaneser
di: Abraham Bengio
Pubblicazione: (2015-06-01)

Government Interventions to Avert Future Catastrophic AI Risks
di: Yoshua Bengio
Pubblicazione: (2024-06-01)

Editorial
di: Rubén Bengió
Pubblicazione: (2022-03-01)

A propósito del posgrado Universitario en la Facultad de Ciencias Médicas
di: Rubén Bengio
Pubblicazione: (2004-06-01)

Domain invariant representation learning with domain density transformations
di: Nguyen, AT, et al.
Pubblicazione: (2021)

Campus wind environment evaluation in north China–A case study of NCUT
di: B. Wang, et al.
Pubblicazione: (2020-02-01)

Mutual alignment transfer learning
di: Wulfmeier, M, et al.
Pubblicazione: (2017)

Technology readiness levels for machine learning systems
di: Lavin, A, et al.
Pubblicazione: (2022)

Analytical description breaker drives and its indicators economy of energy conversion
di: Trubin A.S., et al.
Pubblicazione: (2022-06-01)

Neural networks for speech and sequence recognition /
di: 262643 Bengio, Yoshua
Pubblicazione: (1996)

Profinite groups with polynomial subgroup growth
di: Segal, D, et al.
Pubblicazione: (1997)

On groups with bounded conjugacy classes
di: Segal, D, et al.
Pubblicazione: (1999)

GROUPS WITH FRACTIONALLY EXPONENTIAL SUBGROUP GROWTH
di: Segal, D, et al.
Pubblicazione: (1993)