Panel Discussion: Artificial Intelligence in Dermatology

2021 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Panel Discussion

scholarly journals Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges

2019 ◽  
Vol 28 (01) ◽  
pp. 041-046 ◽  
Author(s):  
Harshana Liyanage ◽  
Siaw-Teng Liaw ◽  
Jitendra Jonnagaddala ◽  
Richard Schreiber ◽  
Craig Kuziemsky ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
Medical Informatics ◽  
Panel Discussion ◽  
Healthcare Delivery ◽  
Primary Health ◽  
The Impact ◽  
Care Informatics

Background: Artificial intelligence (AI) is heralded as an approach that might augment or substitute for the limited processing power of the human brain of primary health care (PHC) professionals. However, there are concerns that AI-mediated decisions may be hard to validate and challenge, or may result in rogue decisions. Objective: To form consensus about perceptions, issues, and challenges of AI in primary care. Method: A three-round Delphi study was conducted. Round 1 explored experts’ viewpoints on AI in PHC (n=20). Round 2 rated the appropriateness of statements arising from round one (n=12). The third round was an online panel discussion of findings (n=8) with the members of both the International Medical Informatics Association and the European Federation of Medical Informatics Primary Health Care Informatics Working Groups. Results: PHC and informatics experts reported AI has potential to improve managerial and clinical decisions and processes, and this would be facilitated by common data standards. The respondents did not agree that AI applications should learn and adapt to clinician preferences or behaviour and they did not agree on the extent of AI potential for harm to patients. It was more difficult to assess the impact of AI-based applications on continuity and coordination of care. Conclusion: While the use of AI in medicine should enhance healthcare delivery, we need to ensure meticulous design and evaluation of AI applications. The primary care informatics community needs to be proactive and to guide the ethical and rigorous development of AI applications so that they will be safe and effective.

The Education of the Human Factors Engineer in the Age of Data Science

2020 ◽  
Vol 64 (1) ◽  
pp. 480-484
Author(s):  
Daniel Hannon ◽  
Esa Rantanen ◽  
Ben Sawyer ◽  
Ashley Hughes ◽  
Katherine Darveau ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factors ◽  
Data Science ◽  
Panel Discussion ◽  
Quantitative Skills ◽  
The Future ◽  
Relevant Role ◽  
Machine Learning Applications

The continued advances in artificial intelligence and automation through machine learning applications, under the heading of data science, gives reason for pause within the educator community as we consider how to position future human factors engineers to contribute meaningfully in these projects. Do the lessons we learned and now teach regarding automation based on previous generations of technology still apply? What level of DS and ML expertise is needed for a human factors engineer to have a relevant role in the design of future automation? How do we integrate these topics into a field that often has not emphasized quantitative skills? This panel discussion brings together human factors engineers and educators at different stages of their careers to consider how curricula are being adapted to include data science and machine learning, and what the future of human factors education may look like in the coming years.

Ethics Education of Human Factors Engineers for Responsible AI Development

2021 ◽  
Vol 65 (1) ◽  
pp. 1034-1038
Author(s):  
Esa M. Rantanen ◽  
John D. Lee ◽  
Katherine Darveau ◽  
Dave B. Miller ◽  
James Intriligator ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Human Factors ◽  
Data Science ◽  
Ethics Education ◽  
Panel Discussion ◽  
Technical Skills ◽  
The Past ◽  
Human Factors And Ergonomics ◽  
Educational Challenges ◽  
Societal Impacts

This panel discussion is third in a series examining the educational challenges facing future human factors and ergonomics professionals. The past two panels have focused on training of technical skills in data science, machine learning, and artificial intelligence to human factors students. This panel discussion expands on these topics and argues for a need of new and broader training curricula that include ethics for responsible development of AI-based systems that will touch lives of everybody and have widespread societal impacts.

scholarly journals Artificial intelligence and robots in individuals' lives: how to align technological possibilities and ethical issues

2021 ◽  
Vol 31 (1) ◽  
pp. 1-10
Author(s):  
Ting-Peng Liang ◽  
Lionel Robert ◽  
Suprateek Sarker ◽  
Christy M.K. Cheung ◽  
Christian Matt ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Panel Discussion ◽  
Personal Life ◽  
Future Research ◽  
Life Domains ◽  
Alphabetical Order ◽  
Research Directions ◽  
Content Type ◽  
Research Fields

PurposeThis paper reports the panel discussion on the topic of artificial intelligence (AI) and robots in our lives. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in 2019. Three scholars (in alphabetical order: Ting-Peng Liang, Lionel Robert and Suprateek Sarker) who have done AI- and robot-related research (to varying degrees) were invited to participate in the panel discussion. The panel was moderated by Manuel Trenz.Design/methodology/approachThis paper introduces the topic, chronicles the responses of the three panelists to the questions the workshop chairs posed and summarizes their responses, such that readers can have an overview of research on AI and robots in individuals' lives and insights about future research directions.FindingsThe panelists discussed four questions with regard to their research experiences on AI- and robot-related topics. They expressed their viewpoints on the underlying nature, potential and effects of AI in work and personal life domains. They also commented on the ethical dilemmas for research and practice and provided their outlook for future research in these emerging fields.Originality/valueThis paper aggregates the panelists' viewpoints, as expressed at the DOTI workshop. Crucial ethical and theoretical issues related to AI and robots in both work and personal life domains are addressed. Promising research directions to these cutting-edge research fields are also proposed.

scholarly journals The 1st International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction

AI Magazine ◽  
2018 ◽  
Vol 39 (4) ◽  
pp. 64-66 ◽  
Author(s):  
Tom Williams ◽  
Daniel Szafir ◽  
Tathagata Chakraborti ◽  
Heni Ben Amor
Keyword(s):  
Artificial Intelligence ◽  
Mixed Reality ◽  
International Workshop ◽  
Panel Discussion ◽  
Human Robot Interaction ◽  
Georgia Tech ◽  
Robot Interaction ◽  
International Conference

The 1st International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) was held in 2018 in conjunction with the 13th International Conference on Human-Robot Interaction, and brought together researchers from the fields of Human-Robot Interaction (HRI), Robotics, Artificial Intelligence, and Virtual, Augmented, and Mixed Reality in order to identify challenges in mixed reality interactions between humans and robots. This inaugural workshop featured a keynote talk from Blair MacIntyre (Mozilla, Georgia Tech), a panel discussion, and twenty-nine papers presented as lightning talks and/or posters. In this report, we briefly survey the papers presented at the workshop and outline some potential directions for the community.

Sign in / Sign up

Export Citation Format

Share Document