Artificial Intelligence

Dissecting the need for ethical AI

Priyanka Roy

Published on January 18, 2021

Until recently, topics like data ethics and ethics in AI were limited to academic circles and non-profit organizations rallying for citizen data rights. Fast forward to 2020, and the scenario is very different; AI ethics has become a mainstream topic that’s a top priority for big organizations. With data collection and processing capabilities growing by the day, it’s become easier than ever to train machine learning (ML) models on this collected data. However, organizations have come to realize that, without building transparency, explainability, and impartiality into their AI models, they’re likely to do more harm than good to their business.

This podcast will explore why ethical AI is the need of the hour, and what key factors AI leaders should consider before implementing AI in their organization’s ecosystem.

Agenda

  • Understanding AI ethics and its importance
  • Factors behind the growth of unethical AI
  • Curbing the bad actors and promoting transparency
  • Combatting AI bias
  • Operationalizing an ethical AI program
Priyanka Roy

Priyanka Roy

Senior Enterprise Evangelist, ManageEngine

Priyanka Roy is a Senior Enterprise Evangelist at ManageEngine. She takes a keen interest in the business and societal impact of technological advancements in the fields of cybersecurity, data privacy, and artificial intelligence.

As part of her role at ManageEngine, Priyanka has liaised with top analyst research firms such as Gartner, Forrester, and EMA to study the trends that influence the IT management landscape. She closely works with ManageEngine’s technical teams to keep herself updated with the latest innovations disrupting the IT industry.

An English literature graduate with an MBA degree in Marketing, Priyanka’s expert opinions, industry insights, and research material have been featured in numerous publications, including CSO Online, EdTech UK, and Dataversity.

 Learn more about Priyanka Roy