The moral psychology of Artificial Intelligence

JF Bonnefon, I Rahwan, A Shariff - Annual review of psychology, 2024 - annualreviews.org
Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …

Socially intelligent machines that learn from humans and help humans learn

H Gweon, J Fan, B Kim - Philosophical Transactions of …, 2023 - royalsocietypublishing.org
A hallmark of human intelligence is the ability to understand and influence other minds.
Humans engage in inferential social learning (ISL) by using commonsense psychology to …

[HTML][HTML] Artificial intelligence and declined guilt: Retailing morality comparison between human and AI

M Giroux, J Kim, JC Lee, J Park - Journal of Business Ethics, 2022 - Springer
Several technological developments, such as self-service technologies and artificial
intelligence (AI), are disrupting the retailing industry by changing consumption and purchase …

Levels of explainable artificial intelligence for human-aligned conversational explanations

R Dazeley, P Vamplew, C Foale, C Young, S Aryal… - Artificial Intelligence, 2021 - Elsevier
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

When algorithms fail: Consumers' responses to brand harm crises caused by algorithm errors

R Srinivasan, G Sarial-Abi - Journal of Marketing, 2021 - journals.sagepub.com
Algorithms, increasingly used by brands, sometimes fail to perform as expected or, even
worse, cause harm, leading to brand harm crises. Algorithm failures are unfortunately …

Algorithmic transference: People overgeneralize failures of AI in the government

C Longoni, L Cian, EJ Kyung - Journal of Marketing …, 2023 - journals.sagepub.com
Artificial intelligence (AI) is pervading the government and transforming how public services
are provided to consumers across policy areas spanning allocation of government benefits …

[图书][B] Internet computing

A Sunyaev, A Sunyaev - 2020 - Springer
The Internet is a success story. Over the past few decades, its value to individuals,
organizations, and society has become more profound than most of us could ever have …

Listen to social media users: Mining Chinese public perception of automated vehicles after crashes

P Jing, Y Cai, B Wang, B Wang, J Huang… - … research part F: traffic …, 2023 - Elsevier
In China, vehicles with L2 driving automation are already widespread, while L3-L5
automated vehicles (AVs) are not allowed on the road. Surprisingly, crashes involving …

User trust in recommendation systems: A comparison of content-based, collaborative and demographic filtering

M Liao, SS Sundar, J B. Walther - … of the 2022 CHI conference on human …, 2022 - dl.acm.org
Three of the most common approaches used in recommender systems are content-based
filtering (matching users' preferences with products' characteristics), collaborative filtering …

[HTML][HTML] Who gets credit for AI-generated art?

Z Epstein, S Levine, DG Rand, I Rahwan - Iscience, 2020 - cell.com
The recent sale of an artificial intelligence (AI)-generated portrait for $432,000 at Christie's
art auction has raised questions about how credit and responsibility should be allocated to …