Why AI is Harder Than We Think

26 April 2021

Papers citing "Why AI is Harder Than We Think"

28 / 28 papers shown

Title
Local Differences, Global Lessons: Insights from Organisation Policies for International Legislation Lucie-Aimée Kaffee Pepa Atanasova Anna Rogers 41 0 0 19 Feb 2025
The AI Agent Index Stephen Casper Luke Bailey Rosco Hunter Carson Ezell Emma Cabalé ... Phillip J. K. Christoffersen A. Pinar Ozisik Rakshit Trivedi Dylan Hadfield-Menell Noam Kolt 70 5 0 03 Feb 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 1 0 22 Jan 2025
Can Generative AI be Egalitarian? Philip G. Feldman James R. Foulds Shimei Pan 55 0 0 20 Jan 2025
Moral Alignment for LLM Agents Elizaveta Tennant Stephen Hailes Mirco Musolesi 45 0 0 02 Oct 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience Martina G. Vilas Federico Adolfi David Poeppel Gemma Roig 40 5 0 03 Jun 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators Changze Lv Dongqi Han Yansen Wang Xiaoqing Zheng Xuanjing Huang Dongsheng Li 32 0 0 23 May 2024
What AIs are not Learning (and Why) M. Stefik 36 0 0 19 Mar 2024
Divergences in Color Perception between Deep Neural Networks and Humans E. Nadler Elise Darragh-Ford Bhargav Srinivasa Desikan Christian Conaway Mark Chu Tasker Hull Douglas Guilbeault 26 7 0 11 Sep 2023
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work Sabine Theis Sophie F. Jentzsch Fotini Deligiannaki C. Berro A. Raulf C. Bruder 18 8 0 27 Jun 2023
Art and the science of generative AI: A deeper dive Ziv Epstein Aaron Hertzmann L. Herman Robert Mahari M. Frank ... Jessica Fjeld Hany Farid Neil Leach Alex Pentland Olga Russakovsky 23 290 0 07 Jun 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices Jingyi Xu Tushar Vaidya Y. Blankenship Saket Chandra Zhangsheng Lai Kai Fong Ernest Chong 41 8 0 21 Mar 2023
The Representational Status of Deep Learning Models Eamon Duede 19 0 0 21 Mar 2023
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning Vittoria Dentella Fritz Guenther Elliot Murphy G. Marcus Evelina Leivada ELM 32 26 0 23 Feb 2023
AI Risk Skepticism, A Comprehensive Survey Vemir Michael Ambartsoumean Roman V. Yampolskiy 11 9 0 16 Feb 2023
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction Inês Hipólito Katie Winkle Merete Lie 13 4 0 17 Jan 2023
Machine Reading, Fast and Slow: When Do Models "Understand" Language? Sagnik Ray Choudhury Anna Rogers Isabelle Augenstein LRM 19 17 0 15 Sep 2022
What can we know about that which we cannot even imagine? David Wolpert AIMat 9 1 0 08 Aug 2022
A General Framework for the Representation of Function and Affordance: A Cognitive, Causal, and Grounded Approach, and a Step Toward AGI Seng-Beng Ho 14 4 0 02 Jun 2022
Should attention be all we need? The epistemic and ethical implications of unification in machine learning N. Fishman Leif Hancox-Li 25 10 0 09 May 2022
Can language models learn from explanations in context? Andrew Kyle Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory Matthewson Michael Henry Tessler Antonia Creswell James L. McClelland Jane X. Wang Felix Hill LRM ReLM 41 283 0 05 Apr 2022
Active learning with MaskAL reduces annotation effort for training Mask R-CNN P. Blok Gert Kootstra Hakim Elchaoui Elghor Boubacar Diallo F. K. Evert Eldert J. van Henten 17 33 0 13 Dec 2021
AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji Emily M. Bender Amandalynne Paullada Emily L. Denton A. Hanna 30 291 0 26 Nov 2021
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer Yoonsuck Choe AI4CE 9 0 0 29 Jun 2021
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 218 188 0 03 May 2020
Optimal Policies Tend to Seek Power Alexander Matt Turner Logan Smith Rohin Shah Andrew Critch Prasad Tadepalli 12 66 0 03 Dec 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017