Conclusion:

From looking at many different perspectives, we can come to an overall conclusion that AI implementation as a substitute or replacement for a human task, must outperform humans by a greater order of magnitude for implementation to be worth the risk. This is demonstrated by how AI has greatly improved radiology diagnoses and proper implementation of this technology could lead to similarly drastic benefits like a large increase in patient imaging frequency, leading to a measurable increase in early diagnoses that save lives. Facial recognition technology on the other hand, has been proven to be inaccurate especially towards women or people of color as shown by the Gender Shades study. Despite this, law enforcement agencies have tried deploying this technology on their citizens and organizations like Big Brother Watch have relentlessly monitored and countered this deployed use by exposing how damaging it is through various forms of activism. This proves how AI can have the means to be implemented but negatively impact the average person.

Prediction:

Based off my sources and the specialized perspective they share, I predict that we won’t see most the benefits of AI for the average person for a few years because of the lack of a workforce that has the sociotechnical skills to manage and properly use AI technologies especially technologies that are implemented to replace an existing skilled workforce. Furthermore, I predict there will be many failed implementations of machine learning technology especially those that cannot produce higher quality output than a human. Because of this, I believe that AI implementation is more likely to cause a net negative impact on the quality of life of the average person for the next decade. After a decade I expect most AI implementations to have either have failed or succeeded already potentially resulting in dysfunctional infrastructures if the integration was forced. This means that after a decade most implemented AI technology will be successful, and this will mark the inflection point for when the average person will experience a positive impact from AI. To summarize, I predict AI technologies will negatively impact the average person for the next decade. Then, after enough trial and error has passed, AI will start positively impacting the average person because of a rise of a suitable AI workforce and an abandonment of AI technologies that resulted in failed implementation.

Based off of the sources