Human-Centered Responsible Artificial Intelligence: Current & Future Trends

• URL: http://arxiv.org/abs/2302.08157v1
• Date: Thu, 16 Feb 2023 08:59:42 GMT
• Title: Human-Centered Responsible Artificial Intelligence: Current & Future Trends
• Authors: Mohammad Tahaei, Marios Constantinides, Daniele Quercia, Sean Kennedy, Michael Muller, Simone Stumpf, Q. Vera Liao, Ricardo Baeza-Yates, Lora Aroyo, Jess Holbrook, Ewa Luger, Michael Madaio, Ilana Golbin Blumenfeld, Maria De-Arteaga, Jessica Vitak, Alexandra Olteanu
• Abstract summary: 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.
• Score: 76.94037394832931
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. While different research communities may use different terminology to discuss similar topics, all of this work is ultimately 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 to advance this important area of research by fostering collaboration and sharing ideas.

Related papers

• AI-Empowered Human Research Integrating Brain Science and Social Sciences Insights [1.7146585621340318]
  We argue that it is high time for researchers to transition to human-AI joint research. We introduce three human-AI collaboration models: AI as a research tool (ART), AI as a research assistant (ARA), and AI as a research participant (ARP)
  arXiv  Detail & Related papers  (2024-11-16T11:13:23Z)
• Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice [63.20307830884542]
  Next several decades may well be a turning point for humanity, comparable to the industrial revolution. Launched a decade ago, the project is committed to a perpetual series of studies by multidisciplinary experts. We offer ten recommendations for action that collectively address both the short- and long-term potential impacts of AI technologies.
  arXiv  Detail & Related papers  (2024-04-06T22:18:31Z)
• The illusion of artificial inclusion [5.721091784293226]
  Human participants play a central role in the development of modern artificial intelligence technology. Recent advances in generative AI have attracted growing interest to the possibility of replacing human participants with AI surrogates.
  arXiv  Detail & Related papers  (2024-01-16T18:58:02Z)
• Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing [80.72844751804166]
  In 2021, the Coordinated Science Laboratory CSL hosted the Future of Computing Symposium to celebrate its 70th anniversary. We summarize the major technological points, insights, and directions that speakers brought forward during the symposium. Participants discussed topics related to new computing paradigms, technologies, algorithms, behaviors, and research challenges to be expected in the future.
  arXiv  Detail & Related papers  (2022-10-04T17:32:27Z)
• Proceedings of the AI-HRI Symposium at AAAI-FSS 2022 [10.710184843122311]
  The Artificial Intelligence for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration since 2014. This year, after a review of the achievements of the AI-HRI community over the last decade in 2021, we are focusing on a visionary theme: exploring the future of AI-HRI. With the success of past symposiums, AI-HRI impacts a variety of communities and problems, and has pioneered the discussions in recent trends and interests.
  arXiv  Detail & Related papers  (2022-09-28T17:55:46Z)
• The History of AI Rights Research [0.0]
  Report documents the history of research on AI rights and other moral consideration of artificial entities. It highlights key intellectual influences on this literature as well as research and academic discussion addressing the topic more directly.
  arXiv  Detail & Related papers  (2022-07-06T17:52:27Z)
• The Road to a Successful HRI: AI, Trust and ethicS-TRAITS [64.77385130665128]
  The aim of this workshop is to foster the exchange of insights on past and ongoing research towards effective and long-lasting collaborations between humans and robots. We particularly focus on AI techniques required to implement autonomous and proactive interactions.
  arXiv  Detail & Related papers  (2022-06-07T11:12:45Z)
• Characterising Research Areas in the field of AI [68.8204255655161]
  We identified the main conceptual themes by performing clustering analysis on the co-occurrence network of topics. The results highlight the growing academic interest in research themes like deep learning, machine learning, and internet of things.
  arXiv  Detail & Related papers  (2022-05-26T16:30:30Z)
• The Road to a Successful HRI: AI, Trust and ethicS-TRAITS [65.60507052509406]
  The aim of this workshop is to give researchers from academia and industry the possibility to discuss the inter-and multi-disciplinary nature of the relationships between people and robots.
  arXiv  Detail & Related papers  (2021-03-23T16:52:12Z)
• AI in society and culture: decision making and values [0.0]
  Several academic debates, social consultations and impact studies are available to reveal the key aspects of the changing human-machine ecosystem. In details, sociocultural filters, taxonomy of human-machine decisions and perspectives of value-based AI are in the focus of this literature review. For better understanding, it is proposed to invite stakeholders in the prepared large-scale survey about the next generation AI that investigates issues that go beyond the technology.
  arXiv  Detail & Related papers  (2020-04-29T07:09:39Z)

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.