US EditionAIs can make collective decisions and influence each other, says new study
- Scientists from City, University of London, conducted a study demonstrating that AI agents can reach collective decisions independently, without the need for human involvement.
- The study arose to examine if AI populations could self-organize and form conventions, with some uncertainty about individual bias roles.
- The research found AI agents persuade each other, spontaneously develop shared norms, and display collective biases not traceable to individuals.
- Professor Andrea Baronchelli noted that bias is an inherent characteristic of AI systems, and the agents reached agreement in 80% of cases.
- The findings suggest AI interactions complicate regulation and could influence human opinions, urging more study to manage ethical risks.
10 Articles
10 Articles
Groups of AI agents spontaneously form their own social norms without human help, suggests study
A new study suggests that populations of artificial intelligence (AI) agents, similar to ChatGPT, can spontaneously develop shared social conventions through interaction alone. The research from City St George’s, University of London and the IT University of Copenhagen suggests that when these large language model (LLM) artificial intelligence (AI) agents communicate in groups, they do not just follow scripts or repeat patterns, but s…
Large developers of generational AI models, such as OpenAI, Microsoft or Google, are clear that the future of the industry goes through so-called agents. These are tools based on the same technology as ChatGPT or Gemini, but with the ability to make decisions and actions on behalf of the user, such as buying airline tickets. To carry out these tasks, AI agents must relate to each other. One study has shown that agents of large language models (L…
Open AI, Google or Microsoft rely on AI agents. Even SAS, an old-school technology company, integrates active AI into its products. A new mainstream is set.
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thedigitalinsider.comThe AI Feedback Loop: When Machines Amplify Their Own Mistakes by Trusting Each Other’s Lies
As businesses increasingly rely on Artificial Intelligence (AI) to improve operations and customer experiences, a growing concern is emerging. While AI has proven to be a powerful tool, it also brings with it a hidden risk: the AI feedback loop. This occurs when AI systems are trained on data that includes outputs from other AI...
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