Intelligent CIO APAC Issue 49 | Page 46

CIO OPINION
These allow users to create , approve , annotate , deploy and audit decisioning processes – while also maintaining a record of who was involved .
An AI system designed with accountability in mind should also include mechanisms for customer feedback , error remediation and correction . Observing and auditing AI flows will help organisations identify and address any issues as soon as possible , enabling them to proactively mitigate concerns before they escalate .
Implementing feedback loops also allows AI systems to learn and adjust their behaviour based on user input .
To enable the active monitoring of various aspects of AI system performance , such as data drifts , concept drifts and out-of-bounds values , organisations require platform capabilities like bias detection , explainability , decision auditability , model monitoring and other governance and accountability measures .
Organisations should strive to involve more nontechnical roles in the AI conversation . It is not enough for technologists to dictate the AI agenda to be solely determined by technologists when there are implications for justice , well-being and equity . Nontechnical domain experts are better suited to consider these implications and uncover risks and opportunities .
By involving a diverse range of perspectives , organisations can put themselves in the best possible position to recognise and respond to AI ethical risks at the point of transaction . This inclusivity ensures that potential ethical issues are addressed appropriately and allows for a more comprehensive approach to managing AI risks .
While many organisations are already leveraging generative AI to their advantage , it is crucial not to overlook the importance of deploying it in a responsible , ethical and safe manner . Proactively addressing the potential negative impacts of unethical AI use is vital for the long-term success and reputation of an organisation . By prioritising responsible deployment and usage , organisations can mitigate risks and ensure that the benefits of generative AI are maximised while minimising harm . p
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