Does mathematics need an ethics? Algorithms in AI and the perpetuation of racism
Yes, mathematics does need an ethics. In recent years, algorithms developed for artificial intelligence (AI) have been used to perpetuate racism and discrimination against certain groups. For example, Amazon’s AI-powered facial recognition software was found to be far more accurate when recognizing lighter skin tones than darker ones (Buolamwini & Gebru, 2018). This type of bias is the result of mathematical equations that are not equipped with ethical considerations.
Therefore, it is important to ensure that the mathematics behind AI software includes ethical considerations so as not to unintentionally create biased algorithms that can cause harm or exclusion towards particular demographics. The lack of ethics in these algorithms has led organizations such as Microsoft and IBM to establish sets of principles guiding their use of AI technology in order to protect human rights (Microsoft Corporation, 2020; IBM Corporation., 2021). As a result, there should be an emphasis placed on developing ethical codes within mathematics itself in order to avoid future perpetuation of racism through the use of algorithms.
Having a set code would also provide guidance for other areas where mathematical equations are utilized such as data science and machine learning which could improve accuracy by avoiding biased results based on gender or race. Additionally, rigorous testing can help identify any potential biases beforehand so they can be addressed prior to implementation (Crawford et al., 2019). Thus creating an ethical framework for mathematics can help establish greater trust between those who develop and implement these technologies while also providing safeguards against perpetuating discrimination or injustice due to misguided algorithmic bias.
Capitalism results in economic growth because it feeds innovation through competition. China has developed an increasingly free market economy. The Soviet Union was innovative whenever they were involved in competing with the United States, but for products only distributed within their nation, it was always the bare minimum. The “invisible hand” of competition, brings the market to a natural equilibrium according to Adam Smith. Competition supports individual growth as well, and eventually results in more specializations of work.
An important distinction between capitalism and communism is the idea of equal opportunity verses equal outcome. Capitalism supports the idea of equal opportunity, but this automatically results in an unequal outcome because of the varying amounts in which different people are willing to work. Communism on the other hand supports the idea of equal outcome. There should be no wealth gaps in a communist state because it doesn’t matter how much work a person puts into succeeding, they end up with the same result. There is no competition, and there is no opportunity for growth.
China was primarily communist before for the majority of the 20th century, but they began transitioning into a mixed economy during the 90’s. They’ve experienced great economic growth due to this transition. In 1990, China’s GDP was 360.585 billion USD, and in 2011 12.238 trillion USD (China, 2017). The gross nominal income, GNI, per capita has also grown from 330 USD in 1990, to 8, 690 USD in 2017 (China, 2017). The new plan for China is to focus on innovation and becoming a leader in technological advances. “Made in China 2025” is a plan set out by Xi Jinping to change the Chinese economy to a mixed economy instead of a controlled economy (Amadeo, 2018). They are recognizing the relationship that innovation and competition have in furthering the economy. China’s plans to evolve into a mixed economy with more privatized markets will turn China into a more economically balanced nation.