The impact of Artificial Intelligence on society; the dangers of unregulated AI technologies on society.pdf

Artificial Intelligence has largely been incorporated in today’s environments. For example, in security assessments, search engines, and credit assessments (Masterson, 2017). It cannot be denied that AI has made processes fast and efficient that could have otherwise been cumbersome and tedious. However, AI can only be deemed fit if it is adequately regulated. Unregulated AI is more dangerous than helpful to society. AI is implemented through algorithms, therefore, to regulate it, the algorithms should be put through scrutiny and evaluation by the concerned authorities. It is argued that scrutinizing AI algorithms and demanding transparency from AI developers would negatively affect innovation (Masterson, 2017). This is because innovators would be discouraged by the complex legal process they would have to follow. The process would involve ensuring that AI innovations protect human rights and safety. Therefore, the argument stating that regulating AI would affect innovation is incorrect because there would rather be fewer innovations in a safe society. It does not make sense to have a lot of AI innovations and have an insecure environment. For example, having autonomized weapons would prevent more soldiers from being injured on a battlefield. However, the same innovation could cause mass killings of innocent civilians (A. Etzioni & O. Etzioni, 2017). AI systems should be fully regulated according to their functions. In some cases, autonomized systems could be allowed while in others human intervention would still be required.

The impact of Artificial Intelligence on society is both positive and negative. This research focused on the dangers of using unregulated AI in society. While regulated AI is safe for society, unregulated AI is not. Some of the notable regulated and helpful AI systems are in the medical image analysis systems as well as language translation (Brundage et al., 2018). To evaluate unregulated AI secondary data sources were used for data collection and analysis. This focused on existing unregulated AI systems, their benefits and disadvantages, and whether or not it was right to have them used in society. For example, the AI application by Clearview AI (Hill, 2020). It also made evaluations on autonomized systems that received petitions not to be developed as they were considered extremely harmful to society. For example, autonomized weapons (A. Etzioni & O. Etzioni, 2017). This research successfully evaluated unregulated AI and why all AI systems should be regulated.