Open Access Publisher and Free Library
10-social sciences.jpg

SOCIAL SCIENCES

EXCLUSION-SUICIDE-HATE-DIVERSITY-EXTREMISM-SOCIOLOGY-PSYCHOLOGY-INCLUSION-EQUITY-CULTURE

Posts in Data Analysis
Overview of the Impact of GenAI and Deepfakes on Global Electoral Processes

CERVINI, ENZO MARIA LE FEVRE; CARRO, MARÍA VICTORIA

From the document: "Generative Artificial Intelligence's (GenAI) capacity to produce highly realistic images, videos, and text poses a significant challenge, as it can deceive viewers and consumers into accepting artificially generated content as authentic and genuine. This raises concerns about the dissemination of false information, disinformation, and its implications for public trust and democratic processes. Additionally, this phenomenon prompts critical ethical and legal inquiries, including issues surrounding the attribution of authority and accountability for the generated content. [...] This article delves into the impact of generative AI on recent and future political elections. We'll examine how deepfakes and other AI-generated content are used, along with their potential to sway voters. We'll also analyze the strategies various stakeholders are deploying to counter this growing phenomenon."

ITALIAN INSTITUTE FOR INTERNATIONAL POLITICAL STUDIES. 22 MAR, 2024. 44p.

Stereotypes in ChatGPT - an empirical study

By Busker, A.L.J. Choenni, S.Bargh, M.S.

ChatGPT is rapidly gaining interest and attracts many researchers, practitioners and users due to its availability, potentials and capabilities. Nevertheless, there are several voices and studies that point out the flaws of ChatGPT such as its hallucinations, factually incorrect statements, and potential for promoting harmful social biases. Being the focus area of this contribution, harmful social biases may result in unfair treatment or discrimination of (a member of) a social group. This paper aims at gaining insight into social biases incorporated in ChatGPT language models. To this end, we study the stereotypical behavior of ChatGPT. Stereotypes associate specific characteristics to groups and are related to social biases. The study is empirical and systematic, where about 2300 stereotypical probes in 6 formats (like questions and statements) and from 9 different social group categories (like age, country and profession) are posed ChatGPT.

Rotterham, NETH: Rotterdam University of Applied Sciences - Research Center Creating 010, 2023. 13p.