Could our AI system contribute to social division or rivalry?

This page is a fallback for search engines and cases when javascript fails or is disabled.
Please view this card in the library, where you can also find the rest of the plot4ai cards.

Bias, Fairness & Discrimination CategoryEthics & Human Rights Category
Design PhaseInput PhaseModel PhaseOutput PhaseMonitor Phase
Could our AI system contribute to social division or rivalry?
  • Could the AI system inadvertently polarize opinions or foster division among groups by amplifying biases or stereotypes in its outputs?
  • Could the system's design or deployment lead to the stigmatization of specific groups, reinforcing harmful narratives or negative assumptions?.
  • Could the AI system incentivize political polarization or amplify social division?
  • AI systems, if not carefully designed and monitored, may unintentionally contribute to societal discord. Outputs influenced by biased data or algorithms could amplify stereotypes, marginalize groups, or reinforce societal divisions. The risks are heightened in applications with broad public interaction, such as social media, news dissemination, or educational tools, where outputs can shape public opinion.

If you answered Yes then you are at risk

If you are not sure, then you might be at risk too

Recommendations

  • Conduct regular audits of system outputs to identify and mitigate content that may promote social division or negative stereotypes.
  • Include diverse stakeholder groups in the development process to identify risks of social bias or divisive content.
  • Implement content moderation and fairness mechanisms to ensure outputs are balanced and inclusive.
  • Train the system using representative and unbiased datasets to minimize the risk of amplifying societal divisions.
  • Monitor real-world impacts and continuously refine the system to align with ethical and societal norms.

Interesting resources/references