As AI becomes more prevalent in business operations, it is important to keep robust AI and data governance policies. Data quality is essential as AI becomes more intertwined with business data. AI pulls from giant datasets, and any mistake in that data can have major consequences. As AI becomes more heavily used, it is vital to have policies in place that ensure responsible AI usage. A lack of governance potentially means weaker model accuracy, a higher risk of data misuse or compromise and more confusion during incidents.
What is AI Data Governance?
Data governance is all about the standards, metrics and policies your company uses to manage their data. Data governance involves logistics on how data is acquired, organized, classified and cleaned.
AI data governance is data governance that is tailored towards AI usage. AI data governance sets limits on what data AI can use, what systems AI can access, and what practices the company has in place to contain AI related data breaches.
How does it impact businesses?
Implementing robust AI data governance has a number of benefits for businesses.
Improved model accuracy
AI can become polluted by bad data. A strong data governance plan ensures the data that AI pulls from is reliable and usable. AI models are prone to mistakes and false positives. Having accurate data supporting your models means that AI will make less mistakes, which is especially important in industries where you are working with sensitive data. Many companies with sensitive data currently use their own in house or trained models with the goal of data security in mind.
Regulatory compliance.
As AI continues to grow and become more widely used across industries, more regulations are expected to appear as concerns over privacy and security also become more prevalent.
Future proofing data
Having good data governance now helps ensure that the data you collect in the future is more secure and usable. It is better to enhance and organize your data architecture now rather than having to fix compound issues in the future.
Conclusion
Data governance and AI data governance are important measures to put in place to improve your company's cybersecurity maturity. These are the types of policies that help ensure responsible AI and protect against AI related data breaches.
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Further Reading
PWC: https://www.pwc.com/us/en/tech-effect/ai-analytics/responsible-ai-data-governance.html
Snowflake: https://www.snowflake.com/en/fundamentals/ai-governance/data-governance/
