Ethical machines: The human-centric use of artificial intelligence

B Lepri, N Oliver, A Pentland - IScience, 2021 - cell.com
Today's increased availability of large amounts of human behavioral data and advances in
artificial intelligence (AI) are contributing to a growing reliance on algorithms to make …

Privacy in the age of psychological targeting

SC Matz, RE Appel, M Kosinski - Current opinion in psychology, 2020 - Elsevier
Psychological targeting describes the practice of extracting people's psychological profiles
from their digital footprints (eg their Facebook Likes, Tweets or credit card records) in order …

Small effects: The indispensable foundation for a cumulative psychological science

FM Götz, SD Gosling… - … on psychological science, 2022 - journals.sagepub.com
We draw on genetics research to argue that complex psychological phenomena are most
likely determined by a multitude of causes and that any individual cause is likely to have …

Leveraging artificial intelligence in marketing for social good—An ethical perspective

E Hermann - Journal of Business Ethics, 2022 - Springer
Artificial intelligence (AI) is (re) shaping strategy, activities, interactions, and relationships in
business and specifically in marketing. The drawback of the substantial opportunities AI …

The potential of generative AI for personalized persuasion at scale

SC Matz, JD Teeny, SS Vaid, H Peters, GM Harari… - Scientific Reports, 2024 - nature.com
Matching the language or content of a message to the psychological profile of its recipient
(known as “personalized persuasion”) is widely considered to be one of the most effective …

Personality research and assessment in the era of machine learning

C Stachl, F Pargent, S Hilbert… - European Journal …, 2020 - journals.sagepub.com
The increasing availability of high–dimensional, fine–grained data about human behaviour,
gathered from mobile sensing studies and in the form of digital footprints, is poised to …

A conceptual framework for investigating and mitigating machine-learning measurement bias (MLMB) in psychological assessment

L Tay, SE Woo, L Hickman… - Advances in Methods …, 2022 - journals.sagepub.com
Given significant concerns about fairness and bias in the use of artificial intelligence (AI) and
machine learning (ML) for psychological assessment, we provide a conceptual framework …

Deploying artificial intelligence in services to AID vulnerable consumers

E Hermann, GY Williams, S Puntoni - Journal of the Academy of Marketing …, 2023 - Springer
Despite offering substantial opportunities to tailor services to consumers' wants and needs,
artificial intelligence (AI) technologies often come with ethical and operational challenges …

The lazy or dishonest respondent: Detection and prevention

W Arthur Jr, E Hagen, F George Jr - Annual Review of …, 2021 - annualreviews.org
Self-report measures are characterized as being susceptible to threats associated with
deliberate dissimulation or response distortion (ie, social desirability responding) and …

Physical topography is associated with human personality

FM Götz, S Stieger, SD Gosling, J Potter… - Nature human …, 2020 - nature.com
Regional differences in personality are associated with a range of consequential outcomes.
But which factors are responsible for these differences? Frontier settlement theory suggests …