- Published on May 17, 2023
- In AI Features
Council Post: Towards An Ethical Tech Revolution: Building Responsible AI Practices
A responsible AI framework enables companies to track and mitigate bias and create transparent and explainable AI models, prevent misuse and adverse effects of AI, determine who to be held responsible if something goes wrong, and ensure compliance with security, privacy, and associated regulations.
- By Swati Jain
For anything to thrive and sustain, ethics are a must; technology innovation is no exception!
Businesses, in general, have incredible growth potential owing to recent AI advancements such as generative AI, but this also entails a lot of responsibility. Since technology directly affects people's lives, there is a lot of emphasis on AI ethics, data governance, trust, and legality.
Businesses must be aware of new and impending regulations as well as the procedures they must undertake to ensure their organizations are data-responsible and compliant when they begin to scale up their AI usage to reap business benefits. Responsible AI can help with this goal.
So what exactly is 'Responsible AI'?
Responsible AI is the practice of designing, developing, and deploying AI with the p
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Swati Jain
Swati Jain is a seasoned professional with over two decades of analytics and consulting experience across multiple verticals, including financial services, retail, media, logistics, and healthcare. Currently, she is the Vice President, Decision Analytics at EXL Service. She leads a world-class team of data scientists and AI/ML professionals impacting marketing, risk management, and operations of several Fortune 500 organisations. She has been instrumental in developing multiple award-winning innovative AI solutions along the customer journey, propagating newer business models and democratising AI in client organisations.
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