A5086655976- Psychology of Moral and Emotional Judgment
- Evolutionary Game Theory and Cooperation
- Social and Intergroup Psychology
- Ethics and Social Impacts of AI
- Experimental Behavioral Economics Studies
- Decision-Making and Behavioral Economics
- Health Systems, Economic Evaluations, Quality of Life
- Emotions and Moral Behavior
- Death Anxiety and Social Exclusion
- Opinion Dynamics and Social Influence
- Healthcare cost, quality, practices
- Vaccine Coverage and Hesitancy
- Artificial Intelligence in Games
- Behavioral Health and Interventions
- Language and cultural evolution
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Neural and Behavioral Psychology Studies
- Cultural Differences and Values
- Supply Chain Resilience and Risk Management
- Explainable Artificial Intelligence (XAI)
- Media Influence and Health
- Expert finding and Q&A systems
- Viral Infections and Outbreaks Research
- Zoonotic diseases and public health
- Ethics and Legal Issues in Pediatric Healthcare
Max Planck Institute for Human Development
2022-2025
University of Oxford
2017-2025
Oxford University Press (United Kingdom)
2024
Abstract As Artificial Intelligence (AI) proliferates across important social institutions, many of the most powerful AI systems available are difficult to interpret for end-users and engineers alike. Here, we sought characterize public attitudes towards interpretability. Across seven studies ( N = 2475), demonstrate robust positive interpretable among non-experts that generalize a variety real-world applications follow predictable patterns. Participants value interpretability positively...
Does competition affect moral behavior? This fundamental question has been debated among leading scholars for centuries, and more recently, it tested in experimental studies yielding a body of rather inconclusive empirical evidence. A potential source ambivalent results on the same hypothesis is design heterogeneity-variation true effect sizes across various reasonable research protocols. To provide further evidence whether affects behavior to examine generalizability single study...
Controlled Human Infection Model (CHIM) research involves the infection of otherwise healthy participants with disease often for sake vaccine development. The COVID-19 pandemic has emphasised urgency enhancing CHIM capability and importance having clear ethical guidance their conduct. payment is a controversial issue involving stakeholders across ethics, medicine policymaking allegations circulating suggesting exploitation, coercion other violations principles. There are multiple approaches...
Abstract Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches to prevent reduce potentially unacceptable uses technologies. we do not yet know what people believe is acceptable their expectations regarding...
AI-builders' preferences shape AI technologies throughout the development cycle, yet their demographic homogeneity raises concerns about misalignment with more heterogeneous population of AI-users. To assess whether these imbalances translate into systematically different moral and diversity preferences, we implemented a pseudo-experimental, cross-sectional design that gauged how variables related to among adults (N = 519, 20+ years) adolescents 395, 15-19 varying engagement. Male scored...
Recent evidence suggests that delegating tasks to machines can facilitate unethical behavior, but the psychological mechanisms driving this effect are not yet well understood. This study investigates whether two interventions mitigate cheating in an algorithmic honesty game: transparency (information about which user input causes algorithm behavior) and framing (natural language cues moral valence of behavior). In a 2 × experimental design, we find does reduce dishonest despite participants...
Many parents are hesitant about, or face motivational barriers to, vaccinating their children. In this paper, we propose a type of vaccination policy that could be implemented either in addition to coercive as an alternative it order increase paediatric uptake non-coercive way. We the use nudges exploit very same decision biases often undermine uptake. particular, under which children would vaccinated at school day-care by default, without requiring parental authorization, but with retaining...
Helping other people can entail risks for the helper. For example, when treating infectious patients, medical volunteers risk their own health. In such situations, decisions to help should depend on individual's valuation of others' well-being (social preferences) and degree personal individual finds acceptable (risk preferences). We investigated how these distinct preferences are psychologically neurobiologically integrated helping is risky. used incentivized decision-making tasks (Study 1;...
Helping acts, however well intended and beneficial, sometimes involve immoral means or helpers. Here, we explore whether help recipients consider moral evaluations in their appraisals of gratitude, a possibility that has been neglected by existing accounts gratitude. Participants felt less grateful more uneasy when offered (Study 1, N = 150), morally neutral an helper 2, 172). In response to helpers, participants were likely accept the willing strengthen relationship with even they accepted...
In a world with limited resources, allocation of resources to certain individuals and conditions inevitably means fewer allocated other conditions. Should patient's personal responsibility be relevant decisions regarding allocation? this project we combine the normative descriptive, conducting an empirical bioethical examination how both Norwegian British doctors think about principles in allocating scarce healthcare resources. A large proportion countries supported including for illness...
The rapid development of AI-mediated communication technologies (AICTs), which are digital tools that use AI to augment interpersonal messages, has raised concerns about the future trust and prompted discussions disclosure uptake. This paper contributes this discussion by assessing perceptions acceptability open secret AICTs for oneself others. In two studies with representative samples (UK: N=477, US: N=765), we found AICT is deemed less acceptable than use, people tend overestimate others'...
Helping others can entail risks for the helper. For example, when treating infectious patients, medical volunteers risk their own health. In such situations, helping-decisions should depend on individual’s valuation of others’ well-being (social preferences) and degree personal individual finds acceptable (risk preferences). We investigate how these distinct preferences are psychologically neurobiologically integrated helping is risky. used incentivized decision-making tasks (Study 1, N=292,...
Artificial Intelligence (AI) systems are prone to influence by the idiosyncratic demographics and preference profiles of their developers at various stages lifecycle. This may manifest in AI systems' outputs across critical areas such as healthcare, finance, law enforcement, potentially exacerbating socio-economic inequalities perpetuating discrimination. Our contribution empirically explores connection between AI-builders’ moral diversity preferences, contrast with AI-users’ profiles. Using...
The growing integration of AI tools in communication promises enhanced efficiency and productivity. However, concerns about the erosion trust authenticity have fueled debates over disclosure regulation ofAI-mediated communication. It remains unclear a) how mediation influences trust, b) whether gains outweigh potential compromises c) proposed transparency policies would impact these trade-offs. To address questions, we conducted two online studies (total N = 1637). We adapted...
The ability of humans to create and disseminate culture is often credited as the single most important factor our success a species. In this Perspective, we explore notion machine culture, mediated or generated by machines. We argue that intelligent machines simultaneously transform cultural evolutionary processes variation, transmission, selection. Recommender algorithms are altering social learning dynamics. Chatbots forming new mode serving models. Furthermore, evolving contributors in...
Uncertainty about how our choices will affect others infuses social life. Past research suggests uncertainty has a negative effect on prosocial behavior by enabling people to adopt self-serving narratives their actions. We show that does not always promote selfishness. introduce distinction between two types of have opposite effects behavior. Previous work focused outcome uncertainty: whether or decision lead particular outcome. But as soon people’s decisions might consequences for others,...
To win friends, help the needy, avoid exploitation, or influence strangers, people must make decisions that are inherently uncertain. In their compelling and insightful perspective on resolving social uncertainty, FeldmanHall Shenhav (2019) join a growing movement combining computational approaches with psychological theory. this Communication, we highlight theory evidence suggesting important avenues for enriching model.