, Forbes ; Overcoming AI’s Nagging Trust And Ethics Issues
"Trust and ethics in AI is what is making business leaders nervous. For example, at least 72% of executives responding to a recent surveyfrom the IBM Institute for Business Value say they “are willing to forgo generative AI benefits due to ethical concerns.” In addition, more than half (56%) indicate they are delaying major investments in generative AI until there is clarity on AI standards and regulations...
"Today, guardrails are a growing area of practice for the AI community given the stochastic nature of these models,” said Ross. “Guardrails can be employed for virtually any area of decisioning, from examining bias to preventing the leakage of sensitive data."...
The situation is not likely to change soon, Jeremy Rambarran, professor at Touro University Graduate School, pointed out. “Although the output that's being generated may be unique, depending on how the output is being presented, there's always a chance that part of the results may not be entirely accurate. This will eventually change down the road as algorithms are enhanced and could eventually be updated in an automated manner.”...
How can AI be best directed to be ethical and trustworthy? Compliance requirements, of course, will be a major driver of AI trust in the future, said Rambarran. “We need to ensure that AI-driven processes comply with ethical guidelines, legal regulations, and industry standards. Humans should be aware of the ethical implications of AI decisions and be ready to intervene when ethical concerns arise.”
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