Managing extreme AI risks amid rapid progress

Managing extreme AI risks amid rapid progress

Show other versions (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...

書目詳細資料
Main Authors:	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
格式:	Internet publication
語言:	English
出版:	2023

相似書籍

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

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

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

KL guided domain adaptation
由: Nguyen, AT, et al.
出版: (2021)

KL guided domain adaptation
由: Nguyen, AT, et al.
出版: (2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Kuando muncho eskurese es para amaneser
由: Abraham Bengio
出版: (2015-06-01)

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

Editorial
由: Rubén Bengió
出版: (2022-03-01)

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

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

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

Mutual alignment transfer learning
由: Wulfmeier, M, et al.
出版: (2017)

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

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

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

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

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

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