With new Artificial Intelligence (AI) models and applications being created every day, the opportunities presented by AI are vast. However, these new tools do not come without their challenges. The risks associated with quality control, biases, and privacy are important considerations and the topic of much debate.
Apprehension about embracing AI stems in part from our fear of blind spots. Perhaps for all our careful planning and risk analysis, something crucial could be overlooked, and the business finds itself in hot water.
How then, do we deploy AI tools in a way that improves workflow but does not increase risk?
Experts from the panel and roundtable discussions at the Governance Institute of Australia’s International Governance Leadership Conference suggest attention must be given to two keyareas: oversight of AI decision-making and data governance.
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