ΑΙhub.org
 

ACM SIGAI Industry Award 2022 nominations


by
10 May 2022



share this:

ACM SIGAI logo
The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) will be given annually to individuals or teams who have transferred original academic research into AI applications in recent years in ways that demonstrate the power of AI techniques via a combination of the following features: originality of the research novelty and technical excellence of the approach; importance of AI techniques to the approach; and actual or predicted societal impact of the application. Awardees receive a plaque accompanied by a prize of $5,000, and will be recognized at the International Joint Conference on Artificial Intelligence through an agreement with the IJCAI Board of Trustees.

After decades of progress in the theory, research and development of AI, AI applications are increasingly moving into the commercial sector. A great deal of pioneering application-level work is being done by those transferring research results into industry—from startups to large corporations—and this is influencing commerce and the broad public in a wide variety of ways. This award complements the numerous academic, best-paper and related awards, in that it focuses on innovators of fielded AI applications. It is intended especially to recognize those who are not only active in the academic community, but also playing key roles in AI commercialization. The award honors these innovators and highlights their achievements (and thus the benefit of AI techniques) to computing professionals and the public at large. The award committee will consider applications that are open-source or proprietary and that may or may not involve hardware.

Evaluation Criteria: The criteria include the following, but there is no fixed weighting of them:

  • Novelty of application area
  • Novelty and technical excellence of the approach
  • Importance of AI techniques for the approach
  • Actual and predicted societal benefits of the fielded application

Eligibility Criteria: Any individual or team, worldwide, is eligible for the award.

Nomination Procedure

One nomination and three endorsements must be submitted. The nomination must identify the individual or team members, describe their fielded AI system, and explain how it addresses the award criteria. The nomination must be written by a member of ACM SIGAI. Two of the endorsements must be from members of ACM or ACM SIGAI. Endorsements are intended to be brief statements of support (typically 1-2 paragraphs and should not exceed 1000 words) that provide additional perspective on the nomination itself.

If you are not a member of ACM SIGAI, please join here.

Please submit the nomination and endorsements through our Google form.

For any questions please contact Craig Boutilier (Award Chair) or Nicholas Mattei (SIGAI Vice Chair).

Timeline

Nominations Due: May 31, 2022
Award Announcement: June 30, 2022
Award Presentation: July 23 – 29 at IJCAI 2022.




ACM SIGAI Association for Computing Machinery Special Interest Group in Artificial Intelligence
ACM SIGAI Association for Computing Machinery Special Interest Group in Artificial Intelligence




            AIhub is supported by:


Related posts :



Generative AI is already being used in journalism – here’s how people feel about it

  21 Feb 2025
New report draws on three years of interviews and focus group research into generative AI and journalism

Charlotte Bunne on developing AI-based diagnostic tools

  20 Feb 2025
To advance modern medicine, EPFL researchers are developing AI-based diagnostic tools. Their goal is to predict the best treatment a patient should receive.

What’s coming up at #AAAI2025?

  19 Feb 2025
Find out what's on the programme at the 39th Annual AAAI Conference on Artificial Intelligence

An introduction to science communication at #AAAI2025

  18 Feb 2025
Find out more about our forthcoming training session at AAAI on 26 February 2025.

The Good Robot podcast: Critiquing tech through comedy with Laura Allcorn

  17 Feb 2025
Eleanor and Kerry chat to Laura Allcorn about how she pairs humour and entertainment with participatory public engagement to raise awareness of AI use cases

Interview with Kayla Boggess: Explainable AI for more accessible and understandable technologies

  14 Feb 2025
Hear from Doctoral Consortium participant Kayla about her work focussed on explanations for multi-agent reinforcement learning, and human-centric explanations.

The Machine Ethics podcast: Running faster with Enrico Panai

This episode, Ben chats to Enrico Panai about different aspects of AI ethics.

Diffusion model predicts 3D genomic structures

  12 Feb 2025
A new approach predicts how a specific DNA sequence will arrange itself in the cell nucleus.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association