lifecycle , from strategy , implementation adoption to scaling of their strategy .
Q . DO YOU HAVE ANY ADVICE FOR BUSINESSES ON HOW TO ENSURE THAT THEY ARE HARNESSING AI IN A RESPONSIBLE WAY ?
ยป As enterprises race to adopt generative AI , they must also proactively mitigate its inherent risks in areas such as ethics , bias , transparency , privacy and regulatory requirements .
Achieving fairness and mitigating bias are essential aspects of responsible AI deployment . AI training data , algorithms or use cases can all unintentionally introduce bias . Picture a global retail company using generative AI to personalise customer promotional offers . The retailer must prevent biased outcomes like offering discounts to specific demographic groups only . To do that , the retailer must create diverse and representative data sets , employ advanced bias detection and mitigation techniques , and adopt inclusive design practices . The continuous monitoring and evaluation of AI systems will ensure fairness throughout their lifecycle .
Transparency and explainability in AI models are also vital for establishing trust and ensuring accountability .
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