Report from the NSF Future Directions Workshop, Toward User-Oriented
Agents: Research Directions and Challenges
- URL: http://arxiv.org/abs/2006.06026v1
- Date: Wed, 10 Jun 2020 18:32:35 GMT
- Title: Report from the NSF Future Directions Workshop, Toward User-Oriented
Agents: Research Directions and Challenges
- Authors: Maxine Eskenazi, Tiancheng Zhao
- Abstract summary: This USER Workshop was convened with the goal of defining future research directions for the burgeoning intelligent agent research community.
The 27 participants presented their individual research interests and their personal research goals.
In the breakout sessions that followed, the participants defined the main research areas within the domain of intelligent agents.
- Score: 15.559224431459556
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This USER Workshop was convened with the goal of defining future research
directions for the burgeoning intelligent agent research community and to
communicate them to the National Science Foundation. It took place in
Pittsburgh Pennsylvania on October 24 and 25, 2019 and was sponsored by
National Science Foundation Grant Number IIS-1934222. Any opinions, findings
and conclusions or future directions expressed in this document are those of
the authors and do not necessarily reflect the views of the National Science
Foundation. The 27 participants presented their individual research interests
and their personal research goals. In the breakout sessions that followed, the
participants defined the main research areas within the domain of intelligent
agents and they discussed the major future directions that the research in each
area of this domain should take
Related papers
- The Nature of NLP: Analyzing Contributions in NLP Papers [77.31665252336157]
We quantitatively investigate what constitutes NLP research by examining research papers.
Our findings reveal a rising involvement of machine learning in NLP since the early nineties.
In post-2020, there has been a resurgence of focus on language and people.
arXiv Detail & Related papers (2024-09-29T01:29:28Z) - A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures [50.987594546912725]
Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preserving model explanations.
This article presents the first thorough survey about privacy attacks on model explanations and their countermeasures.
arXiv Detail & Related papers (2024-03-31T12:44:48Z) - The Time Traveler's Guide to Semantic Web Research: Analyzing Fictitious
Research Themes in the ESWC "Next 20 Years" Track [2.211868306499727]
We asked the community what will Semantic Web research focus on in 20 years from now.
We collected their visions in the "Next 20 years" track of ESWC 2023.
We received ten submissions, eight of which were accepted for presentation at the conference.
arXiv Detail & Related papers (2023-09-25T08:20:06Z) - Information Forensics and Security: A quarter-century-long journey [66.16120845232525]
Information Forensics and Security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes.
For over a quarter century since the 1990s, the IFS research area has grown tremendously to address the societal needs of the digital information era.
arXiv Detail & Related papers (2023-09-21T15:13:35Z) - Improving the State of the Art for Training Human-AI Teams: Technical
Report #2 -- Results of Researcher Knowledge Elicitation Survey [0.0]
Sonalysts has begun an internal initiative to explore the training of Human-AI teams.
The first step in this effort is to develop a Synthetic Task Environment (STE) that is capable of facilitating research on Human-AI teams.
arXiv Detail & Related papers (2023-08-29T13:54:32Z) - Milestones in Autonomous Driving and Intelligent Vehicles: Survey of
Surveys [71.28049144033773]
We propose a Survey of Surveys (SoS) for total technologies of autonomous driving (AD) and intelligent vehicles (IVs)
This article is the first SoS with milestones in AD and IVs, which constitutes our complete research work together with two other technical surveys.
arXiv Detail & Related papers (2023-03-30T08:31:22Z) - Human-Centered Responsible Artificial Intelligence: Current & Future
Trends [76.94037394832931]
In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence.
All of this work is aimed at developing AI that benefits humanity while being grounded in human rights and ethics, and reducing the potential harms of AI.
In this special interest group, we aim to bring together researchers from academia and industry interested in these topics to map current and future research trends.
arXiv Detail & Related papers (2023-02-16T08:59:42Z) - Award rate inequities in biomedical research [55.850540873687386]
The authors performed an analysis of 14,263 biomedical research proposals with proposed start dates between 2010-2022 from the University of Michigan Medical School.
There is a clear relationship between race/ethnicity and rates of proposal award.
Black/African American and Asian researchers appear disadvantaged across all submission categories relative to White researchers.
arXiv Detail & Related papers (2022-06-14T14:05:39Z) - ESR: Ethics and Society Review of Artificial Intelligence Research [11.4503292891152]
We have developed the Ethics and Society Review board (ESR), a feedback panel that works with researchers to mitigate negative ethical and societal aspects of AI research.
This article describes the ESR as we have designed and run it over its first year across 41 proposals.
We analyze aggregate ESR feedback on these proposals, finding that the panel most commonly identifies issues of harms to minority groups, inclusion of diverse stakeholders in the research plan, dual use, and representation in data.
arXiv Detail & Related papers (2021-06-22T03:23:42Z) - Thinking Through and Writing About Research Ethics Beyond "Broader
Impact" [1.505509197162783]
In March 2021, we held the first instalment of the tutorial on thinking through and writing about research ethics beyond 'Broader Impact'
The goal of this tutorial was to offer a conceptual and practical starting point for engineers and social scientists interested in thinking more expansively.
This report provides an outline of the tutorial, and contains our 'lifecourse checklist'
arXiv Detail & Related papers (2021-04-16T16:24:05Z) - Deep Learning & Software Engineering: State of Research and Future
Directions [37.45171549466233]
An NSF-sponsored community workshop was conducted in co-location with the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE'19) in San Diego, California.
The goal of this workshop was to outline high priority areas for cross-cutting research.
This report provides a general summary of the research areas representing the areas of highest priority which were discussed at the workshop.
arXiv Detail & Related papers (2020-09-17T20:46:08Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.