New study suggests evolutionary forces are behind collective discrimination
The evolution of 11 behaviors, p ∈ {0, 1/10, 2/10, …, 1}, over 10,000 generations. The vertical axis represents the relative frequency of each behavior, and the horizontal axis represents time. (4a): equal adverse probability (q = r = 0.2), no feedback τ = 0; (4b): equal adverse probability (q = r = 0.2), mild feedback (τ = 0.6); (4c): equal adverse probability (q = r = 0.2), more feedback (τ = 1); (4d): lower Tellarian adverse probability (q = 0.2, r = 0.15), even more feedback (τ = 2). Credit: Collective Intelligence (2022). DOI: 10.1177/26339137221104785

Collective tendencies to discriminate may be fueled by evolutionary forces according to new research.

A mathematical model of natural selection on behavior was created by Professor Andrew W.

In environments where technological changes threaten the dominance of one group, and allow newly emerging groups to rise in popularity, political bias and discrimination can emerge.

The global rise of authoritarianism has become more relevant over the last few years. In the past 15 years, countries with declines in political rights and civil liberties outnumbered those with gains, according to the report. Many countries continue to have anti-immigration policies. The number of people using social media has continued to rise. The July 2020 data report is available.

The Efficient Markets Hypothesis states that the random interactions of many individuals can produce a great deal of collective intelligence.

Financial markets fuel tremendous economic growth and innovation by using the wisdom of crowds. The global financial crises are caused by failures in collective intelligence.

The researchers say that groups can be formed based on hate and that alliances can reduce our collective intelligence.

Humans tend to follow their instincts. The present-day implications of this principle are explored by the researchers. There will be a group of people who believe in new information even if it's not true.

Engagement-based recommender systems can quickly amplify these beliefs despite the small size of the initial group.

Evolution can drive our biases.

We have known for a long time that groups compete to survive. Competition and cooperation can help propel us to new heights. It can plunge us to new lows, such as state-sponsored terrorism, societies with differing opinions, and hate crimes towards minorities.

The authors recommend fostering environments in which the desired behavior of collective intelligence will emerge naturally through evolutionary dynamics, rather than just regulating against the desired outcome.

Strategies to encourage such environment include providing social, educational and economic opportunities for underrepresented groups to counteract negative feedback loops, as well as providing lessons and activities for children to interact with each other with diverse background Negative feedback loops can be prevented with the best policies.

It's more important than ever to make sure we have the right tools and the right environment in which the wisdom of crowds can emerge naturally to prevent the madness of mobs.

The wisdom of crowds versus the madness of mobs is an evolutionary model of bias. There is a book titled "10177/26137221104785."