Artificial intelligence excels at processing vast amounts of data and identifying patterns that humans might miss. This capability has led some to argue that AI could make more objective and consistent ethical decision than humans who are often swayed by emotions or biases. However, the reality is far more minced, while AI can crunch numbers at lightning speed, it fundamentally lacks some key qualities that human rely on for ethical reasoning. Societal values and ethical standards evolve over time, AI systems based on historical data may perpetuate outdated biases or moral standards. Human oversight allows for continuous adoptions to ensure AI aligns with current ethical norms. When AI makes decisions that impact human lives, accountability is essential. The “human in the loop” approach allows for intervention when necessary and provides a clear chain of responsibility.
This accountability helps build public trust in AI systems, people are more likely to accept AI-assisted decisions if they know a human has reviewed and approved them. As AI becomes more complex there’s a growing push for explainable AI systems that can provide clear rationales for their decisions. Human plays a crucial role in demanding and interpreting these explanations, ensuring AI remains transparent and accountable. While Human oversight is necessary we shouldn’t dismiss AI’s potential to assist in ethical reasoning. The key is finding the right balance that leverages the strengths of both AI and human judgments. AI notoriously fails in capturing or responding to intangible human factors that go into real-life decision making the ethical, morals and other human considerations that guide the course of business, life and society and large.