ETHICAL AI for businesses to guide AI development with transparency to maintain human accountability over the technology .
“ Any company that develops AI or uses AI in their products should prioritise transparency as much as possible , with assurances around how the AI operates and how they manage user data ,” cites Dan Shiebler , Head of Machine Learning at Abnormal Security .
“ Any good product will also prioritise human accountability over system behaviour – meaning , humans should be able to make the final decision when it comes to executing , and potentially undoing , any actions taken by AI .” However , ethical challenges can arise when it comes to specific AI application domains such as healthcare or criminal justice .
When asked about these , Prathiba commented on how both these industries can have a significant impact on the individual .
“ Healthcare can have a unique set of ethical challenges like misdiagnosis and inappropriate treatment , refusal of medication , loss of trust and health disparities when an ethical lens is not applied ,” she says . “ Within criminal justice , ethical challenges can arise like erosion of trust in the legal system , compromised fairness in bail decisions and incorrect judgements .”
Dan adds : “ Most AI models today operate as a “ black box ,” offering very little visibility into how decisions are made . This can lead to biased or unsafe decisions . In industries such as criminal justice and medicine ,
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