Interaction-Centric AI
Remarkable model performance makes news headlines and compelling demos, but these advances rarely translate to a lasting impact on real-world users. A common anti-pattern is overlooking the dynamic, complex, and unexpected ways humans interact with AI, which in turn limits the adoption and usage of AI in practical contexts. To address this, I argue that human-AI interaction should be considered a first-class object in designing AI applications.
In this talk, I present a few novel interactive systems that use AI to support complex real-life tasks. I discuss tensions and solutions in designing human-AI interaction, and critically reflect on my own research to share hard-earned design lessons. Factors such as user motivation, coordination between stakeholders, social dynamics, and user’s and AI’s adaptivity to each other often play a crucial role in determining the user experience of AI, even more so than model accuracy. My call to action is that we need to establish robust building blocks for “Interaction-Centric AI”—a systematic approach to designing and engineering human-AI interaction that complements and overcomes the limitations of model- and data-centric views.
Blueprint for an AI Bill of Rights Making Automated Systems Work for the American People
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world, systems supposed to help with patient care have proven unsafe, ineffective, or biased. Algorithms used in hiring and credit decisions have been found to reflect and reproduce existing unwanted inequities or embed new harmful bias and discrimination. Unchecked social media data collection has been used to threaten people’s opportunities, undermine their privacy, or pervasively track their activity—often without their knowledge or consent.
These outcomes are deeply harmful—but they are not inevitable. Automated systems have brought about extraordinary benefits, from technology that helps farmers grow food more efficiently and computers that predict storm paths, to algorithms that can identify diseases in patients. These tools now drive important decisions across sectors, while data is helping to revolutionize global industries. Fueled by the power of American innovation, these tools hold the potential to redefine every part of our society and make life better for everyone.
This important progress must not come at the price of civil rights or democratic values, foundational American principles that President Biden has affirmed as a cornerstone of his Administration. To advance President Biden’s vision, the White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence.
The Blueprint for an AI Bill of Rights is a guide for a society that protects all people from these threats—and uses technologies in ways that reinforce our highest values. Responding to the experiences of the American public, and informed by insights from researchers, technologists, advocates, journalists, and policymakers, this framework is accompanied by From Principles to Practice—a handbook for anyone seeking to incorporate these protections into policy and practice, including detailed steps toward actualizing these principles in the technological design process. These principles help provide guidance whenever automated systems can meaningfully impact the public’s rights, opportunities, or access to critical needs.
Industry, Academia, and the In-Betweens
The purpose of this Social is to explore and begin eliminating the ostensible barriers between research communities in industry and academia. By inviting NeurIPS participants to attend regardless of their institutional affiliation, employment status, or educational background, our intention is to foster connections and networking opportunities between practitioners who may not otherwise meet through conventional forums. Our discussion will explore the transition from academia to industry (and vice-versa), as well as the fruitful collaborations that follow from dismantling the idea of such transitions altogether.
More information here!
The Town Hall meeting is an opportunity to connect and to learn about how this year's conference was organized. It is also a place where you can ask questions and provide feedback to the NeurIPS organizers and Board. We encourage you to submit questions in advance via townhall@neurips.cc. This event is open to all registered attendees of NeurIPS 2022.
Women in AI Ignite
Join us for 5-minute Ignite talks by women in AI. The idea of Women in AI Ignite Social is based on our experience hosting Ignite sessions at conferences around the world. Everyone is welcome; our speakers are women.
We hosted awesome socials at NeurIPS 2019-21, and would love your support to host one at NeurIPS 2022. To learn more, check out the Twitter moment Women in AI Ignite at NeurIPS 2019, our inaugural year.
Sign-Up Form.
Gulf Coast AI
NeurIPS 2022 is happening in New Orleans, one of the hearts of the Gulf Coast region and a vibrant area for AI research and application. The goal of this social is to provide a forum and opportunity to raise awareness about the work happening in the region, including the unique and pressing challenges where AI/ML/DS research can have impact including coastal, climate, logistics, and materials. And also, a fun and interactive forum for participants to discuss these challenges and socialize within the broader NeurIPS community. We will gather for drinks and an interactive program where we will hear from a panel of both AI researchers and others working in key industries along the Gulf Coast. Join us for a great time and meeting new folks from around the Gulf Coast AI community!
Early-Career Researchers Interested in ML & Climate Change
This is an in-person social for early-career researchers wanting to work in the ML & Climate Change research field. The nature of this research area is inherently interdisciplinary and we welcome researchers from different backgrounds and interests. The social offers the opportunity for networking and informal discussion; aiming to both connect people starting out and introducing them to current ML & Climate Change researchers. We will start with an icebreaker bingo, followed by roundtable discussions on different topics, such as how to start interdisciplinary collaborations, finding and working with real-world data, the most impactful/urgent areas of research, and how to find jobs in ML & Climate Change, etc.
Confirmed roundtable moderators: Alex Hernandez-Garcia (Mila), Konstantin Klemmer (Microsoft Research New England and Climate Change AI), Anna Kwa (Allen Institute for AI), Alexandre Lacoste (ServiceNow), Mélisande Teng (Mila), and Bianca Zadrozny (IBM Research).
We’d like to welcome participants to discuss how to build ML systems immune to biases, obtain representative datasets, and resolve disagreements among annotators in order to bring out high-quality AI products. We’d like to do that while also empowering digital workers, i.e., getting tangible benefits from improving AI systems through data excellence. We are especially interested in inviting people from different backgrounds and opinions on how imperfect AI systems impact people’s lives and how the training data can be changed to improve the state of affairs.
| NeurIPS uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » |