Examination of Slavery, Human Genetics, and Artificial Intelligence with an Evolutionary Angle
This article crosses the delicate ground of slavery by connecting it to the evolution of artificial intelligence and the genetic heritage of humanity. It aims to elicit careful reflection and discussion about the nuanced aspects of our shared genetic heritage, our collective history, and our rapidly evolving future with AI.
The earliest records, including the Sumerian Code of Ur-Nammu from 2100 BC, show that slavery is a socio-economic system that is deeply ingrained in human history. Its persistence across numerous cultures and civilizations serves as a somber reminder of humanity’s capacity for cruelty and inequality, though. Our collective genetic heritage has been irrevocably altered by the Atlantic slave trade and other enormous migrations, highlighting the varied but interconnected history of human evolution.
Human genetic diversity reveals our shared ancestry at the molecular level. Despite external differences, Homo sapiens share approximately 99.9 percent of their genetic code, supporting the central tenet of human equality. Because of this, arguments for or against slavery that rely on genetic superiority or inferiority gravely misinterpret the biological reality. Such sexist ideas are unsupported by science and go against our genetic identity.
We cross over into the artificial intelligence (AI) space as we move along the genetic continuum, a rapidly developing area that has the potential to completely alter the way we live. However, it also raises significant ethical issues that startlingly resemble those that surround the historical institution of slavery.
The ethical framework guiding AI development and application must provide safeguards against replicating exploitative systems akin to human slavery. As we give machines more autonomy, we must make sure they are created and programmed in a way that respects human dignity and upholds equality, reflecting our common genetic heritage. This idea suggests avoiding habits of conduct that may result in the “enslavement” of AI, whereby machines are subjected to harsh working conditions or deprived of fundamental ethical considerations.
As AI’s decision-making capabilities develop, we also need to be cautious of algorithmic bias, which can unintentionally uphold social injustices, similar to the fallacious theories that once supported slavery. Similar to how we are all genetically equal, ensuring fairness and transparency in AI algorithms is crucial.
In conclusion, considering the historical lessons of slavery through the lens of our genetic heritage can help us better understand how to respond to the ethical issues raised by AI. We can influence the direction of our AI-driven future by acknowledging our shared genetic heritage and reaffirming our commitment to justice and equality.
Author: Pooyan Ghamari, Swiss Economist & Visionary