AI’s transformative potential introduces technological ethical dilemmas like bias, fairness, transparency, accuracy/hallucinations, environment, accountability, liability and privacy. Likewise, behavioral ethical dilemmas such as automation bias, moral hazard, self-misrepresentation, academic deceit, malicious intent, social engineering and unethical content generation are typically out of the passive control of technology.
By proactively addressing both the technical and the behavioral ethical concerns, we can work toward a responsible, equitable and beneficial integration of AI tools into everyday solutions, products and human activities while mitigating regulatory fines and protecting the corporate brand, ensuring trust.
While AI technology advances at an enormous pace, and preparation for regulatory control of said technology races to keep up, guidance on the “what” and “why” of Ethics in AI abundantly exists. In “AI governance: Act now, thrive later,” author Stephen Kaufman provides prevailing guidance that, “Companies need to create and implement AI governance policies so that AI can deliver benefits to the organization and the customer, to provide a fair, safe and inclusive system that is trusted by the users.”
