CCC at AAAS 2023
The Computing Community Consortium (CCC) has attended and hosted sessions at the American Association for the Advancement of Science (AAAS) Annual Meeting since 2013. Below you can find the upcoming CCC sponsored AAAS sessions for the 2023 AAAS Annual Meeting. To learn more about the event visit the webpage.
Saturday, March 4th, 4:00-5:00 PM EST
Synopsis: AI has tremendous promise to help us proactively identify people at risk and personalized medical interventions, however the actual implementation of artificial intelligence (AI) in medicine has suffered from two problems – leaving certain demographics out and overfitting algorithms to possibly harm people. It is essential to ensure that advances enabled by AI in computational medicine will mitigate, and not exacerbate, demographic disparities in healthcare. This panel will recommend best practices for the development of equitable approaches through the pipeline of computational medicine including: data collection; algorithm development, evaluation, and deployment; and intervention and mitigation efforts from molecular to clinical approaches. We will discuss how it is essential to include diverse racial and other demographic information in datasets, and how algorithms must be both cognizant of racism and not perpetuate racial bias in algorithm development. The panel will explain how racial bias in algorithms and exclusion of racial data in molecular, diagnostic and clinical studies led to inadequate treatment during the COVID-19 pandemic and for chronic health conditions such as kidney disease. More generally, we discuss paths forward to use algorithms to improve health and mitigate societal inequities.
Saturday, March 4th, 2:30-3:30 PM EDT
Synopsis: We are living in a hybrid world, which impacts our technical research communities in different ways – some that are predictable and others not so much. Remote work and virtual conference participation has become an integral part of our lives; one that is here to stay. COVID brought an explosion of remote work technologies from video platforms and conferencing systems to robotics. We can all agree that there are trade-offs between in-person and virtual events. While in-person events offer companionship and networking opportunities, virtual events save money, time, may be more climate friendly and provide greater accessibility to participants. We must capitalize on the benefits, minimize the deficiencies and integrate hybrid aspects into a new successful, optimal path forward. This panel will debate the negative and positive aspects of in-person vs. virtual participation, identify areas for technological improvement, and explore hybrid solutions to serve our research communities
Friday, March 3rd, 2:30-3:30 PM EDT
Synopsis: The integrity of democratic elections has been called into question in recent years both within and outside of the U.S. Electoral systems currently in widespread public use give voters little if any direct evidence that the announced tallies accurately reflect the votes that were cast. This panel will discuss emerging technologies that enhance transparency of elections by providing substantive evidence and which thereby improve integrity and confidence.
Specifically, panelists will discuss risk-limiting audits – which allow efficient matching of announced tallies with physical ballots – and end-to-end verifiability – which allows voters to confirm that their votes have been accurately recorded and counted without compromising voter privacy. These technologies do not require trust in software, hardware, or even personnel and are starting to be used in elections to provide direct public evidence of the accuracy of election results
Sunday, March 5th, 1:00-2:00 PM EDT
Synopsis: AI is receiving a lot of attention lately, and most of this attention seems to be focused on one small (but important) subarea of AI, deep learning. In order to succeed, the many dimensions of diversity must be reflected in AI research. We do not just mean diversity of people, but also diversity of ideas, theories, methods, projects, evaluation systems, and more. This panel brings together a group of AI experts to discuss the downsides of this “monoculture.”
The current peer and merit review practices are not designed to foster transformational ideas and innovation. The review processes in place tend to reward siloing into intellectual comfort zones among like-minded groups that gravitate to similar ways of thinking. Neural networks and deep learning have catalyzed AI research over the last few years, shadowing other areas of research within AI. We will miss the boat on the next transformations in AI if we continue to reward short-term results rather than longer-term exploration. The rise and dominance of industry-led research groups in publication venues is a symptom that academic research is stagnating and there is no space for innovative and bold ideas to grow. To create systems that address national and global needs, we need to bring diversity back into AI research.
Friday, March 3rd, 1:00-2:00 PM EDT
Synopsis: In the last decade, the number of older adults in the US has increased by 36%. The Biden-Harris Administration has acknowledged the needs of older adults and caregiving in the American Rescue Plan for Older Americans Act. Technology has the opportunity to assist older adults as they age in place, coordinate caregiving resources, and assist remote caregivers in providing aid to older loved ones. Indeed, industry has attempted to create smart home technologies with older adults as a target user group, however these solutions are often more focused on the technical aspects and are short lived. The speakers will discuss issues older adults and informal caregivers face when using technology for caregiving activities. They will address how older adults sometimes feel like caregiving technologies are more surveillance oriented and how technology can be designed without losing one’s autonomy. Conversely, caregivers are overwhelmed with updates and action items to respond to from their everyday life responsibilities and caregiving. The panel will provide insights into how technology can be used to facilitate connections between resources and lower the burden of connecting with these resources to improve caregiving and older adult autonomy.
Saturday, March 4th, 11:30-12:30 PM EDT
Synopsis: Problems with self-regulation of intrusive thoughts, anxiety, fear, panic, and other physiologic, emotional, social, and cognitive challenges are reaching pandemic levels in the US, across the age, ability, and demographic span. The COVID-19 pandemic has drastically exacerbated the situation, resulting in a pervasive lack of access and availability of mental health professionals. The research community has the opportunity to leverage the latest advances in sensing, speech and natural language processing, machine learning, wearable technologies, and mobile technologies to develop tools and methods that will lead toward products that can help users to detect dangerous physiologic states and train self-regulation in order to cope with such states. This panel will bring together experts in human-computer interaction, wearable sensors, affective computing, and socially assistive robotics to review relevant recent research developments and outstanding challenges and opportunities. The outcomes of this panel will include an understanding of the state-of-the-art in relevant research areas and major research challenges in the way of developing systems for supporting self-regulation and improved mental health.