CIO OPINION which provides the basis for the further development of AI governance principles .
The impact of AI bias
While some people have tipped ChatGPT to overtake Google , Google CEO Sundar Pichai says customers trust Google ’ s search results and that “ you can imagine for search-like applications , the factuality issues are really important and for other applications , bias and toxicity and safety issues are also paramount .”
AI bias also hurts the bottom line . In a recent survey of UK and US business owners , 36 % said their organizations have suffered because of AI bias in algorithms with lost revenue ( 62 %) and lost customers ( 61 %), damaging their profitability the most .
Australia and Singapore lead the way in trying to reduce AI bias in the Asia Pacific today . Singapore has introduced the A . I Verify platform , a governance toolkit that allows industries to be more transparent about their AI deployment and processes .
Phrasing a question to ChatGPT in a certain way , for instance , can produce offensive and biased results ( e . g . ChatGPT has been used to rank people who should be tortured based on country of origin ).
The AI Ethics Framework in Australia aims to better protect citizens , consumers and companies .
Biased datasets lead to biased AI
On the enterprise side , a biased dataset can drive decisions based on skewed predictions .
Legal and reputational risks are other considerations . For example , if it got out that a company used AI-driven hiring practices biased against marginalized groups , the backlash could bring down the organization .
AI producing offensive results is attributed to models using datasets that contain questionable and problematic content . Online hate speech , for instance , has been produced and shared since the launch of the Internet and due to the impact of bots ( primarily ), this content is spread and captured by popular AI models to skew results .
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