Bias-free Futures: Strategies for Ethical AI Implementation
As organisations step up efforts to leverage the capabilities of artificial intelligence (AI), it is essential for both AI developers and regulators to consistently contemplate, integrate, and advocate for ethical considerations throughout the entire process.
That’s according to Hope Lukoto, Chief Human Resource Officer at BCX, who points out that while AI promises a plethora of business benefits, responsible use of the technology is key to unlocking its full potential.
AI bias, also referred to as machine learning bias or algorithm bias, refers to AI systems that produce biased results that reflect and perpetuate human biases within a society, including historical and current social inequality.
“Artificial intelligence can transform our lives for the better. But AI systems are only a...