INSIGHTS

Introduction : In every discussion at the boardroom regarding artificial intelligence, the debate seems to end up at a crossroad. On the one hand, there is the need to embrace innovation, approve pilots, vendor agreements and experimentation to stay ahead of the curve. However, there is also a quiet, persistent concern about the risks and liabilities in case things go awry. This is especially so considering the risks that AI poses in terms of prejudice, brand damage and data