June 29 2020
AI systems are progressively utilized in decision-making. Examples include credit/loans, criminal justice, recruitment, education, and clinical diagnosis. Prior to the coming of Engineer AI, government, state, and local laws governed these choices so they were fair, equitable, and transparent. Since AI algorithms gain from enormous amounts of data, the ML models that the AI builds can intensify a portion of the inherent biases present in the data. It prompts the topic of morally ethically sound artificial intelligence systems, whose output doesn't cloud the judgment of people.