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State-of-the-art generative artificial intelligence (AI) can now match humans in creativity tests and is at the cusp of augmenting the creativity of every knowledge worker on Earth. We argue that enriching generative AI applications with insights from the psychological sciences may revolutionize our understanding of creativity and lead to increasing synergies in human–AI hybrid intelligent interfaces.
Generative artificial intelligence (AI) tools have made it easy to create realistic disinformation that is hard to detect by humans and may undermine public trust. Some approaches used for assessing the reliability of online information may no longer work in the AI age. We offer suggestions for how research can help to tackle the threats of AI-generated disinformation.
If mistakes are made in clinical settings, patients suffer. Artificial intelligence (AI) generally — and large language models specifically — are increasingly used in health settings, but the way that physicians use AI tools in this high-stakes environment depends on how information is delivered. AI toolmakers have a responsibility to present information in a way that minimizes harm.
In this Perspective, the authors examine the psychological factors that shape attitudes towards AI tools, while also investigating strategies to overcome resistance when AI systems offer clear benefits.
Artificial intelligence tools and systems are increasingly influencing human culture. Brinkmann et al. argue that these ‘intelligent machines’ are transforming the fundamental processes of cultural evolution: variation, transmission and selection.
The authors construct a model that captures both health and economic aspects of the coronavirus disease 2019 pandemic, and uncover trade-offs between epidemic and economic outcomes both when individuals change their behaviour due to fear of infection and when non-pharmaceutical interventions are imposed.
As screen time becomes more and more present in the lives of children, parents need the best information to help to guide their decisions. By collating all of the meta-analytic evidence from across the field, we hope to provide that evidence.
de Vries et al. map civic opportunity across America, demonstrating that it is highly correlated with pro-social community behaviours, but is unequally distributed, and underrepresented in public dialogue—suggesting it may warrant greater attention.
Findings from an umbrella review of more than 100 meta-analyses suggest that screen time can have both positive and negative associations with educational and health outcomes for youth, but effect sizes are small.
A three-wave survey conducted before and after a major leaked and official ruling by the US Supreme Court shows that the ruling shifted views on abortion legality, had a contrasting effect on norm perceptions and polarized perceptions of the Court’s legitimacy and support for reform.
The authors conducted a genome-wide meta-analysis on anxiety disorders and identified new risk loci, as well as variants and genes that may be causal. This provides insights into the genetic architecture of anxiety disorders and potential therapeutic targets.
Four labs discovered and replicated 16 novel findings with practices such as preregistration, large sample sizes and replication fidelity. Their findings suggest that with best practices, high replicability is achievable.
Variability in neuroimaging results has many causes and no solution. We need to be mindful of potential sources of discrepant results rather than dismiss them as human error.
Online health communities can provide valuable social support in China, writes Qingpeng Zhang. He argues that they offer benefits that artificial intelligence cannot match.
For the partnership between policy and academia to be a fruitful one, it is important that expectations on both sides are clear. In this World View, Ammaarah Martinus shares her experiences from working in government for over a decade.
Social media data enable insights into human behaviour. Researchers can access these data via platform-provided application programming interfaces (APIs), but these come with restrictive usage terms that mean studies cannot be reproduced or replicated. Platform-owned APIs hinder access, transparency and scientific knowledge.
We need human behavioural change to decarbonize our buildings. This requirement arises from our needs, lifestyle energy choices and interactions with buildings, and is an underexploited, yet essential demand-side opportunity for rapid and sustainable decarbonization. We propose a sufficiency-oriented approach that fosters equitable building decarbonization, while maintaining planetary boundaries.
