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A quick guide to ethical and responsible AI governance

Phani Dasari, Chief Information Security Officer of HGS, discusses how organizations can proactively manage the entire AI life cycle and the key components of AI governance.

Phani Dasari

The rapid advancement of artificial intelligence (AI) technologies fueled by breakthroughs in machine learning (ML) and data management has propelled organizations into a new era of innovation and automation.

As AI applications continue to proliferate across industries, they hold the promise of revolutionizing customer experience, optimizing operational efficiency, and streamlining business processes. However, this transformative journey comes with a crucial caveat: the need for robust AI governance.

In recent years, concerns about ethical, fair, and responsible AI deployment have gained prominence, highlighting the necessity for strategic oversight throughout the AI life cycle.

Article originally published on TechCrunch


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