PR Krishnan, Executive Vice President & Global Head EIA & AI, Tata Consultancy Services (TCS), believes that “ethical AI will be one of the potential reasons that drive business revenue in the near future, which is why he encourages embedding ethical AI to become an AI-Ready Enterprise
TCS uses the concept of MFDM™ (Machine First Delivery Model) to address ethics in its AI services and solutions and PR Krishnan’s department, EIA & AI, is a strategic unit of Tata Consultancy Services (TCS) that facilitates enterprise-wide automation, leveraging the mentioned machine-first model with robotics, machine learning, and AI. The goal is to support companies in its efforts to embed intelligence and digital technologies in everything from IT operations to business processes and functions to application development.
According to the TCS’s white paper “Enterprise Intelligent Automation & Artificial Intelligence”, businesses adopt to newer technologies willingly in order to gain a competitive edge and thrive in the digital era.
AI is simply one of the crucial technologies that embraces and enhances digital transformation in enterprises, across industries like consumer goods, healthcare, transport, professional services, defence, legal, retail etc. Automating work and embedding intelligence within every process decreases time consumption and ensures multi-fold improvement in productivity for the enterprise, thus freeing up humans to do more intellectual tasks, PR Krishnan explains. Not to mention that AI can enhance human safety, can diagnose deadly diseases and can run million simulated clinical trials to come up with cures for deadly diseases with minimal time and resources.
But he highlights, AI models could also discriminate and make biased decisions without morality – e.g. a self-driving vehicle – leading to increase in risks and uncertainty. The following gives his overview of possible ethical challenges that might arise in an AI model:
- Biased Decisions: Systems using machine...
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