Cybersecurity & AI
AI on the
strategy is in place, however, it is the task of senior leadership to ensure that responsible AI is integral to its design. Convincing enterprise stakeholders of the importance of responsibly designed AI strategy should not be difficult when presented with the alternative. “No business wants to make headlines because they have used or misused customer or employee information in a way that causes harm,” says GlobalData enterprise practice director Rena Bhattacharya. And reputational damage is not the only potential outcome of poorly implemented AI, adds Bhattacharya, noting that in certain industries or regions, hefty fines or legal action could ensue.
M 18
ost tech leaders agree that a technology business without an AI strategy is fast becoming a ship without a rudder. Once a
front line
Responsible AI strategy should involve close and constant monitoring to ensure corporate ethics policies are followed to build trust in AI. Lara Williams reports.
There are numerous ways this could happen, from failing to adequately safeguard personal information or incorporate guardrails that prevent the distribution of misinformation, to using AI in a manner that is biased against or withholds privileges from a particular demographic group, explains Battacharya.
Five globally agreed principles of responsible AI
The principles governing responsible AI are broadly: fairness, explainability, accountability, robustness, security and privacy. But assuring customers, employees, partners and suppliers that an organisation is implementing these appropriately is hard to substantiate, according to Battacharya. While it is early days for AI global standards, there are best practices
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