How To Solve AI ’ s Ethical Puzzles | Cansu Canca | TEDxCambridgeSalon
How To Solve AI ’ s Ethical Puzzles | Cansu Canca | TEDxCambridgeSalon
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55 many industries due to limited diversity in datasets , leading to unethical decisionmaking . Algorithms used in recruitment , for instance , are known to favour white men . In medicine , adult males dominate the clinical trial population and around 86 percent of participants are white .
“ When such data are used to ‘ teach ’ an algorithm that informs healthcare or recruitment decisions , there is a risk of inaccurate and even harmful outcomes . If organisations and ecosystems work together , they can ensure greater awareness of the ethical issues . Through shared risk analyses and data , we can reduce the pitfalls of AI and ensure more trustworthy outcomes .”
Jabe Wilson , consulting director for text and data analytics at Elsevier R & D Solutions , cautions that while “ there ’ s no one-size-fits-all approach to guarantee ethical decision making when using AI systems ”, human intervention is crucial , for now .
“ One step that should be taken by everyone to improve trust is ensuring full transparency and accountability . This means allowing researchers to go back and review the algorithms an AI has used , the data calculations are based on , and
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