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