ACM Special Interest Group on Artificial Intelligence

We promote and support the growth and application of AI principles and techniques throughout computing

AI Matters: our blog

ACM SIGAI 2022 Industry Award Now Accepting Applications

We are happy to announce that the call for the ACM SIGAI 2022 Industry Award is now available at the main Industry Award page here: https://sigai.acm.org/main/acm-sigai-industry-award/

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.

For more information please see the call here: https://sigai.acm.org/main/acm-sigai-industry-award/

ACM SIGAI Webinar: Enlichenment: Insights Towards AI Impact in Education through a Mycelial Partnership between Research, Policy, and Practice

Title: ACM SIGAI Webinar: Enlichenment: Insights Towards AI Impact in Education through a Mycelial Partnership between Research, Policy, and Practice

For Event Registration Please see the ACM Webinar Site: https://webinars.on24.com/acm/rose

Date: Thursday, June 24, 2021

Time: 12:00 PM Eastern Daylight Time

Duration: 1 hour

Summary: As we begin to emerge from COVID-19, in the face of tremendous learning loss and widening achievement gaps, we, as a society, are grappling with envisioning the future of education. In the field of Artificial Intelligence, we ask what our role might be in this emerging reality. This ACM SIGAI Learning Webinar will engage the audience in consideration of these issues in light of insights gained from recent research. Since the early 70s, the field of Artificial Intelligence and the fields of Human Learning and Teaching have partnered together to study how to use technology to understand and support human learning. Nevertheless, despite tremendous growth in these fields over the decades, and notable large-scale success, the emergency move to universal online learning at all levels over the past year has exposed gaps and breakdowns in the path from basic research into practice. 

As the new administration reacts by committing to invest substantial research dollars into addressing the “COVID Melt,” or learning loss, we must ask ourselves how to prepare for potentially future emergencies so that such tremendous and inequitable learning loss can be prevented from happening again. The International Alliance to Advance Learning in a Digital Era (IAALDE) is partnering with the American Academy for the Advancement of Science (AAAS) to foster productive synergy between the worlds of research, policy, and practice, beginning with a recent kickoff event.  Administrators and policy makers/implementors of policy were invited to engage with world class leading researchers across a broad spectrum of research in technology enhanced learning to accelerate the path from research into real educational impact through practice. The goal is that the work going forward would benefit tremendously from increased grounding from the lived experiences of administrators and implementors of policy in schools. At the same time, that greater awareness of research findings might offer opportunities to reflect and reconsider practices on the ground in schools. This discussion, involving over 100 delegates, was meant to lay the foundation for documents, resources, and activities to move the conversation forward. Find out more about insights learned, next steps, and how you can get involved on June 3!

Speaker: Carolyn P. Rose, Professor, Language Technologies and Human-Computer Interaction, Carnegie Mellon University

Carolyn Rose is a Professor of Language Technologies and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University. Her research program focuses on computational modeling of discourse to enable scientific understanding of the social and pragmatic nature of conversational interaction of all forms, and using this understanding to build intelligent computational systems for improving collaborative interactions. Her research group’s highly interdisciplinary work, published in over 270 peer reviewed publications, is represented in the top venues of 5 fields: namely, Language Technologies, Learning Sciences, Cognitive Science, Educational Technology, and Human-Computer Interaction, with awards in 3 of these fields. She is a Past President and Inaugural Fellow of the International Society of the Learning Sciences, Senior Member of IEEE, Founding Chair of the International Alliance to Advance Learning in the Digital Era, and Co-Editor-in-Chief of the International Journal of Computer-Supported Collaborative Learning. She also serves as a 2020-2021 AAAS Fellow under the Leshner Institute for Public Engagement with Science, with a focus on public engagement with Artificial Intelligence.

Moderator: Todd W. Neller Professor, Computer Science, Gettysburg College

Todd W. Neller is a Professor of Computer Science at Gettysburg College, and was the recipient of the 2018 AAAI/EAAI Outstanding Educator Award. A Cornell University Merrill Presidential Scholar, he received a B.S. in Computer Science with distinction in 1993. In 2000, he received his Ph.D. with distinction in teaching at Stanford University, where he was awarded a Stanford University Lieberman Fellowship, and the George E. Forsythe Memorial Award for excellence in teaching. His dissertation concerned extensions of artificial intelligence (AI) search algorithms to hybrid dynamical systems, and the refutation of hybrid system properties through simulation and information-based optimization. A game enthusiast, Neller has enjoyed pursuing game AI challenges, computing optimal play for jeopardy dice games such as Pass the Pigs and bluffing dice games such as Dudo, creating new reasoning algorithms for Clue/Cluedo, analyzing optimal Risk attack and defense policies, and designing games and puzzles.

Recent and Upcoming Events

Brookings Webinar: Should the Government Play a Role in Reducing Algorithmic Bias?

On March 12, the Center for Technology Innovation at Brookings hosted a webinar on the role of government in identifying and reducing algorithmic biases (see video). Speakers discussed what is needed to prioritize fairness in machine-learning models and how to weed out artificial intelligence models that perpetuate discrimination. Questions included
How do the European Union, U.K., and U.S. differ in their approaches to bias and discrimination?
What lessons can they learn from each other?
Should approaches to AI bias be universally applied to ensure civil and human rights for protected groups?

They observe that “policymakers and researchers throughout the world are considering strategies for reducing biased decisions made by machine-learning algorithms. To date, the U.K. has been the most forward in outlining a role for government in identifying and mitigating biases and their unintended consequences, especially decisions that impact marginalized populations. In the U.S., legislators and policymakers have focused on algorithmic accountability and the explanation of models to ensure fairness in predictive decision making.”

The moderator was Alex Engler, Rubenstein Fellow – Governance Studies.
Speakers and discussants were
Lara Macdonald and Ghazi Ahamat, Senior Policy Advisors – UK Centre for Data Ethics and Innovation;
Nicol Turner Lee, Brookings Senior Fellow – Governance Studies  and Director, Center for Technology Innovation; and
Adrian Weller, Programme Director for AI at the Alan Turing Institute

Algo2021 Conference to Be Held on April 29, 2021

The University College London (Online) will present The Algo2021 Conference: Ecosystems of Excellence & Trust, building upon the success of their 2020 inaugural conference. They will platform all major stakeholders – academia, civil service, and industry – by showcasing the cutting-edge developments, contemporary debates, and perspectives of major players. The 2021 conference theme reflects the desire to promote public good innovation. Sessions and topics include the following:
Machine Learning in Healthcare,
Trust and the Human-on-the-Loop,
Artificial Intelligence and Predictive Policing,
AI and Innovation in Healthcare Technologies,
AI in Learning and Education Technologies,
Building Communities of Excellence in AI, and
Human-AI and Ethics Issues.

Politico’s AI Online Summit on May 31, 2021

The 2021 Summit plans to dissect Europe’s AI legislative package, along with the impact of geopolitical tensions and tech regulations, on topics such as data and privacy concerns. The summit will convene top EU and national decision makers, opinion formers, and tech industry leaders.

“The European Commission will soon introduce legislation to govern the use of AI, acting on its aim to draw up rules for the technology sector over the next five years and on its legacy as the world’s leading regulator of digital privacy.  At the heart of the issue is the will to balance the need for rules with the desire to boost innovation, allowing the old continent to assert its digital sovereignty. On where the needle should be, opinions are divided – and the publication of the Commission’s draft proposal will not be the end of the discussion.”
Issues to be addressed are the following:
How rules may fit broader plans to build European tech platforms that compete globally with other regions;
How new requirements on algorithmic transparency might be viewed by regular people; and
What kind of implementation efforts will be required for startups, mid-size companies and big tech.

The Politico 4th edition of the AI Summit will address important questions in panel discussions, exclusive interviews, and interactive roundtable discussions. Top regulators, tech leaders, startups, and civil society stakeholders will examine the EU’s legislative framework on AI and data flow while tackling uncomfortable questions about people’s fundamental rights, misinformation, and international cooperation that will determine the future of AI in Europe and worldwide.