ΑΙhub.org
 

AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity


by
14 April 2020



share this:

AAAI squirrel AI award
The AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity is a new prize, to be awarded for the first time at the Association for the Advancement of Artificial Intelligence (AAAI) conference in February 2021. It recognizes positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways.

The award will be an annual event and is accompanied by a prize of $1,000,000 plus travel expenses to the conference. The award is administered by AAAI, with support from the European Artificial Intelligence Association (EurAI) and the Chinese Association for Artificial Intelligence (CAAI). Financial support for the award is provided by Squirrel AI.

The deadline for nominations is May 24, 2020 and you can find the online nomination form here.

Candidates may be individuals, groups, or organizations that are directly connected with the main contribution stated in the nomination. Qualifications or technical knowledge in artificial intelligence are not requirements for nominations. The emphasis is on the significance and impact of the work.

The award will be judged by a prestigious committee:

  • Yoshua Bengio is professor in the Department of Computer Science and Operations Research at the Universite de Montreal. He was a joint winner of the 2018 ACM A.M. Turing Award.
  • Tara Chklovski is CEO and founder of global tech education non-profit Technovation (formerly Iridescent).
  • Edward A Feigenbaum is Kumagai Professor of Computer Science Emeritus at Stanford University. He won the 1994 ACM Turing Award
  • Yolanda Gil (Award Committee Chair) is Director of Knowledge Technologies at the Information Sciences Institute of the University of Southern California, and Research Professor in Computer Science and in Spatial Sciences. She is the current President of the AAAI.
  • Xue Lan is Cheung Kong Chair Distinguished Professor and Dean of Schwarzman College, and Dean Emeritus, School of Public Policy and Management in Tsinghua University.
  • Robin Murphy is the Raytheon Professor of Computer Science and Engineering at Texas A&M and directs the Center for Robot-Assisted Search and Rescue.
  • Barry O’Sullivan holds the Chair in Constraint Programming at University College Cork in Ireland. He is the current President of the European AI Association

To find out more visit the AAAI website.



tags: ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:



Related posts :



Memory traces in reinforcement learning

  12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Interview with Yezi Liu: Trustworthy and efficient machine learning

  10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.

Advanced AI models are not always better than simple ones

  09 Sep 2025
Researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

  05 Sep 2025
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

How the internet and its bots are sabotaging scientific research

  03 Sep 2025
What most people have failed to fully realise is that internet research has brought along risks of data corruption or impersonation.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence