Transforming data/model governance using AI and machine learning
Hindustan TimesArtificial Intelligence is omnipresent, affecting every part of our daily lives, whether personal or professional. When the data used in AI and ML training processes is unrepresentative, inaccurate, or flawed, it can distort results, leading to decisions that support existing inequalities or produce incorrect or undesirable outcomes. Another study revealed gender-based disparities in online job {{^userSubscribed}} {{/userSubscribed}} {{^userSubscribed}} {{/userSubscribed}} The integration of AI into data management platforms has revolutionised data governance, creating smart systems that can analyse, learn, forecast, and operate independently. These AI-enhanced tools can autonomously examine data, identify irregularities, implement governance protocols, anticipate future needs, and adjust to emerging data formats and regulatory shifts without human intervention. {{^userSubscribed}} {{/userSubscribed}} {{^userSubscribed}} {{/userSubscribed}} By adopting AI governance for their models, the companies can gain access to high-quality data for their business strategies.
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