The 39th Annual AAAI Conference on Artificial Intelligence
February 25 – March 4, 2025 | Philadelphia, Pennsylvania, USA
AAAI-25 Diversity & Inclusion Activities
Sponsored by the Association for the Advancement of Artificial Intelligence
February 27-March 2, 2025 | Pennsylvania Convention Center | Philadelphia, Pennsylvania, USA
Activities Schedule
Please note that these sessions are either a half day or full day
Friday,
February 28
9:00AM – 10:45AM
Room 122B
Exploration of Essential Practices Around Use of Foundation Models in Real-World Settings
2:00PM – 4:00PM
Saturday,
March 1
9:00AM – 3:00PM
Room 122B
Social Impact of AI: Research, Diversity and Inclusion Frameworks (SIAI-ReaDI)
Sunday,
March 2
9:00AM – 12:00PM
Room 122B
AI Enhanced Learning: Transforming Video Education with Generative Intelligence
12:30PM – 2:00PM
Terrace Ballroom I
Women’s Mentoring Lunch
Pre-Registration Required
Description of Activities
AIDBEI
This workshop is the sixth in the series of workshops organized by Diverse In AI, an affinity group which aims to foster links between participants from underrepresented populations, which in artificial intelligence includes but is not limited to women, BIPOC persons, LGBTQ+ persons, persons with disabilities (e.g., Black in AI, WiML, LatinX in AI, Queer in AI, Indigenous in AI, Disability in AI). Meanwhile, many service and outreach workshops such as the Grace Hopper Conference (GHC) provide opportunities to technologists to understand the needs of underserved populations and in turn give back to these communities. The organizers of this workshop wish to bring together these communities to strive to achieve the intersecting goals through interdisciplinary collaborations. This shall help in the dissemination of benefits to all underserved communities in the field of AI and further help in mentoring students/future technologists belonging to isolated, underprivileged, and underrepresented communities.
Organizers: Yihong Theis(yihong@ksu.edu) & William Hsu(bhsu@ksu.edu)
Exploration of Essential Practices Around Use of Foundation Models in Real-World Settings
WAI Labs, Women in AI
The state-of-the-art of Large Language Models(LLMs) or Foundation Models(FMs), their varied and changing capabilities and increasing multimodality have led to discussion around their use and promise to be in applied domains. The expectation of AI to deliver reliable outcomes in domains such as healthcare, climate and weather, and robotics on tasks suitable for FMs can be used and could be beneficial for automation remains in the promising stage. To bridge the gap towards real-world implementation, this workshop focuses on critical perspectives grounded in technological work on the issues of verification, robustness, data composition, reliability etc., around the use of these models in such real-world settings.
The workshop offers a space for discussion, sharing of practices, and the steps needed to ensure the inclusion of stakeholders – who are impacted by the use of these models and transparency in operations – if the effects of using these models in complex environments are as intended.
The goal of the workshop is to create a forum for discussion of these research directions that are important for the adoption and use of FMs in a reliable manner in real-world settings, with also a critical approach to current practices. We intend to discuss work around, not limited to topics below:
- Description of tasks for which FMs are used in real-world settings
- Description of complex environments that FMs are to be used in
- Methodologies for assessment of the impact of using FMs within specific operation scenarios such as healthcare, robotics, transportation, climate etc.
- Description or establishment of datasets, as it relates to the scenario of operation
- Articulation of biases, be it in the data or output from models – in the context of use
- Negative results for some methodologies in the use of FMs
- Templates for impact assessment of deployment of AI on stakeholders
- Standards for describing operation scenarios for FMs, from any domain
During the workshop , we will have an introduction from Women in AI , presentations from researchers in above topics, and a roundtable discussion – with all the participants of the workshop around next steps we should take collectively to direct the course of adoption of FMs in an inclusive manner.
Organizing Committee:
- Vinutha Magal Shreenath – Women in AI
- Jauwairia Nasir – University of Augsburg/ Women in AI
- Auxane Boch – Women in AI
- Akshata Kishore Moharir – Microsoft / Women in AI
- Frincy Clement – ADP / Women in AI
To view the full CFP please follow this link: https://docs.google.com/document/d/1jVm17066H2Q2Mn_na90jWca0vkUjmsq73pWcQD8Jidc/edit?usp=sharing
Social Event: Inclusion and Diversity in AI
Inclusion and diversity are crucial for driving organizational impact in academia and industry. To foster an environment that cherishes a culture of inclusion and belonging, we are organizing a event that will provide a platform for everyone, regardless of race, ethnicity, gender, faith, cultural background, etc., to come together and discuss how we can make the fields of AI and ML more welcoming for all members of our communities.
Despite progress in the last few years, there is still a long way to go until we have fair representation of all social groups in AI. This social event will act as a platform to raise awareness of the challenges faced by various social groups, celebrate our differences, and create opportunities for attendees to become part of the movement to embrace, build and strengthen diversity and inclusion within academia and industry.
A panel of expert speakers will share their perspectives on topics around inclusion, diversity, responsible AI, fairness, low-resource languages and courses of action to achieve fair representation of all social groups in AI and ML. Then we will open the floor for discussion. The event will close off with a networking session over food and drinks and a curated exhibition of diversity and inclusion (D&I) initiatives and programs. During networking, the guests will make deep and meaningful connections with the speakers, the D&I initiatives exhibiting, their fellow AAAI attendees and start taking action on how we, all, can encourage more social groups to shape the future of AI and harness the latest technologies for social good.
Panelists:
- Eirene Seiradaki, Director at RBC Borealis | Panel Moderator
- Luisa Cutillo, Faculty at University of Leeds | Board of Directors at WiML
- Indra Kubicek, President & CEO at Digital Moment
- Sedef Kocak, Director at Vector Institute
- Bonaventure Dosou, PhD Candidate at Mila | Co-Founder of Lanfrica
Partnering initiatives you can meet during the networking session:
- Vector Institute
- WiML
- Let’s SOLVE it by RBC Borealis
- Digital Moment
- Lanfrica
Organizing Committee:
- Eirene Seiradaki PhD. Director Research Partnerships, RBC Borealis | Event Chair
- Bonaventure Dossou. PhD Candidate, McGill University & MILA | Co-organizer
Event Website: https://sites.google.com/view/aaai-inclusion-diversity-in-ai/home
Social Impact of AI: Research, Diversity and Inclusion Frameworks (SIAI-ReaDI)
The Social Impact of AI: Research, Diversity, and Inclusion Frameworks (SIAI-ReDI) workshop aims to develop inclusive frameworks for assessing AI’s societal impact across diverse cultural and socio-economic contexts. By bringing together researchers, practitioners, and policymakers, the workshop focuses on ensuring AI is deployed ethically and equitably, addressing risks like bias and exclusion while promoting fairness. SIAI-ReDI provides a timely platform to shape responsible AI practices as global attention on AI ethics grows. We invite you to submit your work and participate in this important conversation about the inclusive future of AI globally. We welcome original research papers, case studies, and position papers addressing topics listed on the workshop website.
Paper Submission Deadline (Extended): January 17, 2025
Workshop website: https://www.siai.co/
Paper Submission: https://openreview.net/group?id=AAAI.org/2025/Workshop/SIAI-Redi
School of Computing and Data Science
Organizing Committee
- Yetunde Folajimi(folajimiy@wit.edu)
- Salem Othman(othmans1@wit.edu)
- Shawren Singh(singhs@unisa.ac.za)
- Leon Deligiannidis (deligiannidisl@wit.edu).
AI Enhanced Learning: Transforming Video Education with Generative Intelligence
The workshop “AI Enhanced Learning: Transforming Video Education with Generative Intelligence” is a comprehensive 3-hour session focused on revolutionizing video-based education through AI integration. The workshop will be organized and presented by representatives from Rutgers University:
Organizing Committee:
- Naina Chaturvedi (Workshop Chair and Presenter) – Rutgers University
- Prof. Ananda Gunawardena, Computer Science Professor, Rutgers University
The workshop activities are structured around several key components:
- Platform Demonstration and Hands-on Experience Participants will receive direct experience with the cubits.ai platform, learning how to enhance video playlists using AI capabilities. The platform showcases features for creating AI-generated summaries, auto-generated quizzes, and implementing adaptive learning paths based on student performance data.
- Interactive Learning Sessions The workshop includes practical sessions where participants will learn to:
- Create AI-enhanced video content
- Develop interactive assessments
- Utilize analytics dashboards
- Implement personalized learning recommendations
- Generate automated content summaries
- Data-Driven Teaching Strategies Participants will explore how to:
- Analyze class performance metrics
- Create adaptive learning paths
- Use AI-generated insights for course improvement
- Best Practices Discussion: The session will cover integration of AI-generated content with instructor expertise and strategies for increasing student engagement and accountability.
Relevant Websites:
- Platform Website: cubits.ai – The main platform to be discussed in the workshop.
- Institutional Affiliations: Professional Websites : Naina Chaturvedi ( https://openreview.net/profile?id=~Naina_Chaturvedi1) and Ananda Gunawardena ( https://sites.google.com/view/andyguna/home)Organizers: Naina Chaturvedi (nc832@cs.rutgers.edu), Ananda Gunawardena (andy.guna@cs.rutgers.edu)
Rutgers University: https://www.rutgers.edu
Women’s Mentoring Lunch*
Endorsed by WiML
Event Website: https://aaai25.notion.site/womens-mentoring
Co-chairs: Maria Chang (IBM Research) and Paula Rodriguez-Diaz (Harvard University)
*Pre-Registration is required for this event.
Diversity and Inclusion Activities Chair
William Hsu (Kansas State University, USA)
Yihong Theis (Kansas State University, USA)