Ethical and privacy concerns
Helen rightly warns of a complex ethical landscape when it comes to harnessing the power of AI and ML in reverse logistics . “ Implementing AI in reverse logistics raises significant privacy concerns ,” she contends .
Highlighting potential risks , Helen stresses the importance of regulatory compliance , particularly with GDPR and warns of algorithmic bias that could unfairly categorise customer behaviours .
She cautions : “ Regular audits are essential to identify and mitigate biases in datasets and AI decisions ,” underlining the need for responsible data management and transparency .
Kristen advocates a balanced approach . While acknowledging that highly-personalised experiences “ often require personal data ,” she emphasises the critical need for secure data storage and minimal information usage .
“ If we can build recommenders without individual purchase history , we should ,” Kristen adds .
Tim is on the same page and notes that existing consumer data practices should align with regulations like GDPR : “ Whenever you ’ re using customer data , you need appropriate protections .”
102 January 2025