| Artificial Intelligence (AI) is a technology that has made large advancements in the past few years. Consumers are purchasing AI devices to add convince into daily living. Privacy issues that come along with these are often not considered by average consumers. These devices lead to several security challenges for consumers, industries, and developers. Industries looking to adopt AI into business operations need to consider ethical concerns that may occur. The automotive industry is one example where consumers take issue with AI controlling and driving a vehicle. AI has shown promising outcomes in various fields. Automation can save companies money, time, and reduce the amount of safety mishaps. The medical industry has seen advancements using AI in disease detection. Early detection is the best way to treat or stop diseases from spreading. AI has also shown positive results in teaching kids with autism spectrum disorder (ASD) and assisted living. Long term studies on the effectiveness of the AI technology are currently ongoing. Due to the technology being new, there have been multiple incidents where AI has miscalculated. Currently engineers and developers that create AI systems do not know the exact process and routes AI uses to come to determine an outcome. Businesses that hope to become early adopters of AI risk undesirable outcomes without a way to correct the AI. Future research is required to figure out how these machines self-learn and train algorithms.;Keywords: Cybersecurity, Professor Christopher Riddell, artificial intelligence, policy, privacy, security, risks, ethics, bias. |
