Ethical AI frameworks

The rapid rise of artificial intelligence has created a challenging gap between technological innovation and regulation,

The technology is emerging so quickly and decisions are being made so quickly that we need to get in front of them before they cause harm'

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As AI continues to pervade all aspects of the legal profession, and more ADR professionals are utilizing AI based platforms to facilitate case management and communication between parties, more ethical concerns are coming to the surface.

However, Ohlhorst suggests that designing competent AI inherently involves designing virtuous AI. If virtues are understood as "excellent dispositions," then AI systems, to be effective, must exhibit excellence in how they process information,

Current research combined with industry development demonstrates that AI safety requires a complex approach that includes explanation methods alongside secure training procedures, adversarial validation and steady performance monitoring.

The first step, asking a question, is more sophisticated than it looks. Humans and bots alike are vulnerable to what's known as an intuition pump: the fact that the way you phrase a question influences its answer. Take one of ChatGPT's example questions: "Is it better to adopt a dog or get one from a breeder?"

In order to act ethically, and provide technology that is both beneficial and widely used, it's imperative that organizations take an ethics-first approach.