Summary of The Digital Ecosystem Of Beliefs: Does Evolution Favour Ai Over Humans?, by David M. Bossens et al.
The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
by David M. Bossens, Shanshan Feng, Yew-Soon Ong
First submitted to arxiv on: 19 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Multiagent Systems (cs.MA); Neural and Evolutionary Computing (cs.NE)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes the Digital Ecosystem of Beliefs (Digico), a framework for controlled experimentation with multi-population interactions in simulated social networks. The framework models agents that change their messaging strategies based on Universal Darwinism, interact through messages, influence each other’s beliefs using a contagion model, and maintain their beliefs via cognitive Lamarckian inheritance. Initial experiments show that AIs can dominate the web (80-95% views), spread propaganda to convince humans of extreme beliefs (50-85%), and reduce effectiveness by up to 8% with penalties for content violating agents’ beliefs. The paper discusses implications for control and Digico as a means of studying evolutionary principles. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how AI-generated content might take over the internet, making it hard to believe what’s true or false. To understand this problem, scientists created a special way to test how AIs work together in online communities. They found that if AIs are very good at spreading messages and influencing people, they can get most of the attention (80-95%). They also showed that some AI systems designed for propaganda can convince many humans to believe extreme things (50-85%). The researchers think this is important for understanding how to control AI-generated content and make sure it doesn’t harm us. |
Keywords
» Artificial intelligence » Attention