Women or Men… Who Views Artificial Intelligence as More Dangerous?

Women or Men… Who Views Artificial Intelligence as More Dangerous?

Women or Men… Who Views Artificial Intelligence as More Dangerous?

https://www.sadanews.ps/en/news/273959.html

Publish Date: 2026-02-07 02:45:00

Source Domain: www.sadanews.ps

  • Gender Differences in Perception of AI Risks: The study found that women view the risks posed by artificial intelligence as more significant compared to men. This perception is more pronounced when the economic benefits of AI are uncertain.

  • Impact of Risk Orientation: Women’s higher risk aversion, often linked to their greater exposure to jobs susceptible to automation, leads to more cautionary attitudes towards AI adoption.

  • Employment and Opportunity Disparities: Women are overrepresented in roles that may be more affected by AI, while being underrepresented in high-paying, AI-integrating fields. This disparity influences their skepticism and risk perception towards AI.

  • Experimental Findings on Job Gains: When economic benefits of AI are clearly assured (guaranteed jobs gains), the gender gap in AI support diminishes. Conversely, women’s support drops significantly as perceived risks increase (lower net job gains).

  • Attitudinal Gaps and Uncertainty: Women expressed more uncertainty about AI’s economic benefits, emphasizing job losses more than men, who highlighted productivity and efficiency gains.

  • Political Implications: Gender-based differences in attitudes toward AI may lead to a politicization where protective policies are used to garner women’s support. This could shape regulatory decisions and political discourse around AI.

  • Potential for Deepening Inequality: Failure to address women’s concerns regarding AI-induced job disruptions and unequal opportunities may exacerbate existing inequalities and erode public trust.

  • Need for Inclusive AI Policies: AI policies need to consider workforce protections, retraining pathways, and comprehensive governance to address gender disparities, thereby maintaining legitimacy in the evolving AI-driven economy.