Intelligence without trust: a risky business

Companies and entire industries are looking to harness data analytics to make more accurate and effective decisions, within and across organizations. Such real-time and accurate insights have enabled boards and their management to be more effective in conducting their duties. Artificial intelligence (AI) mimics the learning function of the human brain, which means it could be deliberately or accidently corrupted and even adopt human biases, potentially resulting in mistakes and unethical decisions. Control of AI systems by the wrong hands is also a concern. Any AI system failure could have profound ramifications on security, decision-making and credibility, and may lead to costly litigation, reputational damage, regulatory scrutiny, and reduced stakeholder trust and profitability.