AI Medical Compendium Journal:
The American psychologist

Showing 1 to 10 of 10 articles

Verbal behavior and the future of social science.

The American psychologist
Natural language processing (NLP)-previously the domain of a select few language and computer scientists-is undergoing an unprecedented surge in popularity across disciplines. The ubiquity of language data, alongside extremely rapid methodological in...

Unavoidable social contagion of false memory from robots to humans.

The American psychologist
Many of us interact with voice- or text-based conversational agents daily, but these conversational agents may unintentionally retrieve misinformation from human knowledge databases, confabulate responses on their own, or purposefully spread disinfor...

Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.

The American psychologist
Researchers, governments, ethics watchdogs, and the public are increasingly voicing concerns about unfairness and bias in artificial intelligence (AI)-based decision tools. Psychology's more-than-a-century of research on the measurement of psychologi...

Using natural language processing to understand people and culture.

The American psychologist
Language can provide important insights into people, and culture more generally. Further, the digitization of information has made more and more textual data available. But by itself, all that data are just that: data. Realizing its potential require...

Could a rising robot workforce make humans less prejudiced?

The American psychologist
Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many perspectives have examined the economic impact of a robot workforce, but here we consider its social impact: How will the rise of robot workers affect...

Psychological predictors of socioeconomic resilience amidst the COVID-19 pandemic: Evidence from machine learning.

The American psychologist
What predicts cross-country differences in the recovery of socioeconomic activity from the COVID-19 pandemic? To answer this question, we examined how quickly countries' socioeconomic activity bounced back to normalcy from disruptions caused by the C...

Machines, psychology, and hypothesis generation: Commentary on Banker et al. (2024).

The American psychologist
Advances in machine learning and artificial intelligence are revolutionizing many aspects of human life, and as Banker et al. (2024) illustrate, generative artificial intelligence may also facilitate hypothesis generation in academic research. But wh...

Persons or data points? Ethics, artificial intelligence, and the participatory turn in mental health research.

The American psychologist
This article identifies and examines a tension in mental health researchers' growing enthusiasm for the use of computational tools powered by advances in artificial intelligence and machine learning (AI/ML). Although there is increasing recognition o...

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

The American psychologist
Technological advances in the assessment and understanding of speech and language within the domains of automatic speech recognition, natural language processing, and machine learning present a remarkable opportunity for psychologists to learn more a...

Underreliance on mechanistic models: Comment on Ferguson (2015).

The American psychologist
Ferguson (see record 2015-39598-004) proposed that our overreliance on mechanistic models is responsible for the public’s negative view of psychology. On the contrary, I claim that our explanations do not actually explain because they lack mechanism ...