As artificial intelligence (AI) pervades our day-to-day lives, the discussion transitions from technological progress to the consequences of using AI. Privacy, security, bias, and ethics are increasingly gaining importance when we talk about the applications of AI. AI technologies aid decision making which exposes these use cases to risks such as simulating or amplifying human biases. Hence, it becomes essential for organizations to ensure that the AI systems are fair and transparent.
However, the question remains how do you ensure that AI is aligned to your business models and core values while leveraging it to drive maximum business outcomes? How do you build AI systems that can be trusted?
Building and adhering to a set of core principles that guide AI-related systems, decisions, and innovation is the first step an organization can take towards cultivating the responsible and ethical AI culture. In this article featured in ISB Management ReThink, Vivek Khemani, Co-founder, Quantiphi and Vishal Vaddina, Solution Architect-ML, Leading Applied Research, Quantiphi share insights that answer these pertinent questions facing every leader today: