Unrealistic optimism is a bias that leads people to believe, with respect to a specific event or hazard, that they are more likely to experience positive outcomes and/or less likely to experience negative outcomes than similar others. The phenomenon has been seen in a range of health-related contexts—including when prospective participants are presented with the risks and benefits of participating in a clinical trial. In order to test for the prevalence of unrealistic optimism among participants of early-phase oncology trials, we (...) conducted a survey with patients over 18 years of age who were enrolled in a phase I, phase I/II, or phase II clinical cancer trial in the New York City area between August 2008 and October 2009. Participants in our study were asked to compare their own chances of experiencing a range of risks and benefits related to the trial they were enrolled in with the chances of the other trial participants. We found a significant optimistic bias in their responses. Respondents tended to overestimate the benefits of the trial they were enrolled in and underestimate its risks. In addition, we found no significant relationship between respondents’ understanding of the trial’s purpose and how susceptible they were to unrealistic optimism. Our findings suggest that improving the consent process for oncology studies requires more than addressing deficits in understanding. (shrink)

Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle monitoring, and health information management. While research has identified biases in healthcare AI systems and proposed technical solutions to address these, we argue that effective solutions require human engagement. Furthermore, there is a lack of research on how to motivate the adoption of these solutions and promote investment in designing AI systems that align with values (...) such as transparency and fairness from the outset. Drawing on insights from psychological theories, we assert the need to understand the values that underlie decisions made by individuals involved in creating and deploying AI systems. We describe how this understanding can be leveraged to increase engagement with de-biasing and fairness-enhancing practices within the AI healthcare industry, ultimately leading to sustained behavioral change via autonomy-supportive communication strategies rooted in motivational and social psychology theories. In developing these pathways to engagement, we consider the norms and needs that govern the AI healthcare domain, and we evaluate incentives for maintaining the status quo against economic, legal, and social incentives for behavior change in line with transparency and fairness values. (shrink)

Purpose Recent research has found unrealistic optimism among patient-subjects in early-phase oncology trials. Our aim was to investigate the cognitive and motivational factors that evoke this bias in this context. We expected perceptions of control to be a strong correlate of unrealistic optimism. Methods A study of patient-subjects enrolled in early-phase oncology trials was conducted at two sites in the USA. Respondents completed questionnaires designed to assess unrealistic optimism and several risk attribute variables that have been found to evoke the (...) bias in other contexts. Results One hundred and seventy-one patient-subjects agreed to be interviewed for our study. Significant levels of perceived controllability were found with respect to all nine research-related questions. Perceptions of control were found to predict unrealistic optimism. Two other risk attribute variables, awareness of indicators and mental image, were correlated with unrealistic optimism. However, in multivariate regression analysis, awareness and mental image dropped out of the model and perceived controllability was the only factor independently associated with unrealistic optimism. Conclusion Patient-subjects reported that they can, at least partially, control the benefits they receive from participating in an early-phase oncology trial. This sense of control may underlie unrealistic optimism about benefiting personally from trial participation. Effective interventions to counteract unrealistic optimism may need to address the psychological factors that give rise to distorted risk/benefit processing. (shrink)

New Jersey residents who tested their homes for radon and found more than four picocuries per liter were surveyed about their knowledge, emotions, attitudes, and intentions to take remedial action Respondents proved well informed, but radon levels were not highly correlated with any of the response variables. Overoptimism was more common than overreaction. The results suggest that active guidance is needed to ensure appropriate responses to environmental hazards, like radon, that require individual remediation. Simple information dissemination alone seems inadequate.

Osiurak and Reynaud highlight the critical role of technical-reasoning skills in the emergence of human cumulative technological culture, in contrast to previous accounts foregrounding social-reasoning skills as key to CTC. We question their analysis of the available evidence, yet for other reasons applaud the emphasis on causal understanding as central to the adaptive and collaborative dynamics of CTC.