Journal Article10.1080/00140139.2023.2243404
Ironies of Artificial Intelligence.
39
TL;DR: Five ironies of AI are presented including difficulties with understanding AI and forming adaptations, opaqueness in AI limitations and biases that can drive human decision biases, and difficulties in understanding the AI reliability, despite the fact that AI remains insufficiently intelligent for many of its intended applications.
read more
Abstract: Abstract Bainbridge’s Ironies of Automation was a prescient description of automation related challenges for human performance that have characterised much of the 40 years since its publication. Today a new wave of automation based on artificial intelligence (AI) is being introduced across a wide variety of domains and applications. Not only are Bainbridge’s original warnings still pertinent for AI, but AI’s very nature and focus on cognitive tasks has introduced many new challenges for people who interact with it. Five ironies of AI are presented including difficulties with understanding AI and forming adaptations, opaqueness in AI limitations and biases that can drive human decision biases, and difficulties in understanding the AI reliability, despite the fact that AI remains insufficiently intelligent for many of its intended applications. Future directions are provided to create more human-centered AI applications that can address these challenges. Practitioner summary: Artificial Intelligence (AI) creates many new challenges for human interaction. Five ironies of AI are discussed that limit its ultimate success, and future directions are provided to create more human-centered AI applications that can address these challenges.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Energy Transition Technology Comes With New Process Safety Challenges and Risks
Abstract: Decarbonization and energy transition will have a large impact on how our mobility, as well as supply of materials for clothing, building, and construction, and even for food, will be energized and processed. This review will give a brief survey of a few main changes and what they mean for process safety. It concerns hazards of hydrogen production and handling, battery systems, and electrification of the process industry, which will bring a range of changes, some easy, others intricate. Coincidentally, three recent papers in the journal Ergonomics prove to be in line with these process safety challenges.
40
Future of maritime autonomy: cybersecurity, trust and mariner's situational awareness
J. D. Palbar Misas,Rory Hopcraft,Kimberly Tam,Kevin Jones +3 more
TL;DR: Future maritime autonomy raises concerns about cybersecurity and trust issues, potentially reducing mariners' situational awareness. The need for training future navigators with new skills to interact with digital systems and manage cyber threats is evident.
9
Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare.
Carl Macrae
TL;DR: This analysis explores an array of sociotechnical sources of risk associated with the development, deployment, and use of AI in healthcare and identifies an array of sociotechnical patterns of resilience that may counter those risks.
7
Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
Auste Simkute,Lev Tankelevitch,Viktor Kewenig,Ava Elizabeth Scott,Abigail Sellen,Sean Rintel +5 more
6
Artificial intelligence applications in the football codes: A systematic review
Isaiah Elstak,Paul M. Salmon,Scott McLean +2 more
TL;DR: This systematic review of 190 articles identifies 9 AI applications in football codes, including athlete evaluation and match outcome prediction, and highlights 4 potential risks: data security, usability, data biases, and athlete load management.
2
References
Meaningful human control: actionable properties for AI system development
Jakob Mökander
- 18 May 2022
TL;DR: In this paper , the authors address the gap between philosophical theory and engineering practice by identifying, through an iterative process of abductive thinking, four actionable properties for AI-based systems under meaningful human control.
Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries
Patrick Gage Kelley,Yongwei Yang,Courtney Heldreth,Christopher Moessner,Aaron Sedley,Andreas Kramm,David T. Newman,Allison Woodruff +7 more
TL;DR: In this paper, the authors present results of an in-depth survey of public opinion of artificial intelligence conducted with 10,005 respondents spanning eight countries and six continents and report widespread perception that AI will have significant impact on society, accompanied by strong support for the responsible development and use of AI, and also characterize the public's sentiment towards AI with four key themes (exciting, useful, worrying, and futuristic) whose prevalence distinguishes response to AI in different countries.
42
The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments.
TL;DR: This work investigated the contribution of providing either information analysis automation strategy information, task environment information, or both, on human judgment performance in a domain where noisy sensor data are used by both the human and the information analysis automate to make judgments.
32
•Book
Priniciples from the psychology of thinking and mental models
Ken Manktelow,Julian Jones +1 more
- 01 Jun 1987
30
(Mis-)use of standard Autopilot and Full Self-Driving (FSD) Beta: Results from interviews with users of Tesla's FSD Beta
Sina Nordhoff,John D. Lee,Simeon C. Calvert,Siri Hegna Berge,Marjan Hagenzieker,Riender Happee +5 more
TL;DR: For example, this article found that drivers became complacent over time with Autopilot engaged, failing to monitor the system, and engaging in safetycritical behaviors, such as hands-free driving, enabled by weights placed on the steering wheel, mind wandering, or sleeping behind the wheel.