decisioning solutions at Pegasystems , points out , “ One maverick human making decisions can have bad impact on tens to hundreds of decisions , but an issue in models and logic driving automated decisions can affect millions . In that situation , it is justified that more scrutiny should be applied to AI .”
So where next for the AI ethics debate ? Lynch argues that organisations must “ remain realistic about what AI is capable of , and don ’ t stretch a tool beyond what it was made to do ”. He adds , “ It ’ s crucial that leaders educate employees about AI and set the right expectations . The best applications of AI are those which combine AI models with human decision-making . Organisations must remember that AI can augment humans in drawing conclusions from data , but should never replace them .”
For Holder and Giles , the path ahead is lined with the lessons of the past . “ This debate inevitably leads to the production of rules , regulations and standards that machines using AI must adhere to . Machines have been a part of human life for centuries and during each stage of technological advancement , their creation and use have had to fit in with the ethical , legal and societal zeitgeist – and AI powered machines will be no different .
“ Taking the car as an example , when they were first used on the roads , it was a requirement that a person walked in front of one with a red flag to warn passers-by of what was about to come down the road . That was the norm then . This requirement quickly faded into history as the general public got used to automobiles sharing the roads with horses and their speed meant that flag waving became more of a hindrance than a help . The rules changed . Society adapted .”
61 aimagazine . com