RDS and Trust Aware Process Mining: Keys to Trustworthy AI?

By 2024, companies are predicted to spend $500 billion annually on artificial intelligence (AI), according to the International Data Corporation (IDC). This forecast has broad socio-economic implications because, for businesses, AI is transformative--according to a recent McKinsey study, organizations implementing AI-based applications are expected to increase cash flow 120% by 2030. But implementing AI comes with unique challenges. For consumers, for example, AI can amplify and perpetuate pre-existing biases--and do so at scale. Cathy O'Neil, a leading advocate for AI algorithmic fairness, highlighted three adverse impacts of AI on consumers: In fact, a PEW survey found that 58% of Americans believe AI programs amplify some level of bias, revealing an undercurrent of skepticism about AI's trustworthiness.