Final Project Description
for my Artificial Intelligence and Humanity freshman fall course
For my project, I was greatly influenced by the idea presented in The Minority Report of the power of predictive technology, which in our modern world can be made possible through Artificial Intelligence and Machine Learning. In particular, my project focuses on the idea of how predictive technology might help inform and guide our day-to-day decisions and choices depending on utilitarianism or any other chosen ethical system that can be converted to a quantifiable assessment of value. This concept plays on the idea that ethical mistakes commonly occur because of our failure to project and imagine potential benefits or repercussions of our actions. We see a visual representation of this from the Black Mirror episode Nosedive in which the main character systematically makes increasingly worse decisions in her goal do attain a higher social rating, a evident failure to accurately foresee the future of her rating as a result of her actions. Instead, in her case and the case of many others, mistakes commonly arise from making impulsive and uninformed decision making. Bridging this possible predictive technology with a technology that we already currently have to paint a very possible future, I will be presenting this technology through a filtered augmented reality view of surrounding environments that analyzes your current circumstance and can display a variety of actions that you could take and then gives a predictive utility, or value score that tells you the likelihood that a certain act will yield a threshold of utility, which helps guide the first person user’s ethical decision makings. The way AI provided utility scores would be determined would be by using Bentham’s Hedonistic Calculus and the seven criteria (Intensity, Duration, Certainty/Uncertainty, Propinquity, Fecundity, Purity, Extent). The problem with ethical theories have always been the capacity to measure the outcome and result of ethical decisions Without AI, such a task would be extremely hard as it is difficult to exactly project and predict the amount of utility an action would result in long term, but using AI and machine learning in the future this could possibly be reduced to an algorithm that gives a single quantitative utility score.
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