Managing AI Risks: The Ethical Imperative
Continuity Central, Wednesday, July 12,2023
Peter Ruffley explores the ethical issues affecting the corporate adoption of AI, the importance of trust and the need for robust data sets that support robust bias checking.
Artificial intelligence (AI) is changing lives. It is transforming diagnosis and treatment throughout healthcare, improving patient outcomes. It is accelerating drug discovery, has the potential to drastically improve road safety and, through robotics, is unleashing new manufacturing productivity and quality. But the speed with which emerging technologies such as ChatGPT have been adopted by individuals is raising the ethical and political implications of AI adoption to the very top of the agenda.
For all of the benefits that AI can undoubtedly offer, if algorithms do not adhere to ethical guidelines, is it safe to rely on and use the outputs? If the results are not ethical or, if a business has no way to ascertain whether the results are ethical, where is the trust? Where is the value? And how big is the risk?