Summary: Generative AI is revolutionizing the way we interact with technology by providing direct synthesized answers to text-based queries. This advanced form of machine learning uses natural language processing (NLP) to generate human-like responses. While there are many competitors in the generative AI market, organizations must carefully consider the risks involved in using off-the-shelf models. Issues such as biased data, faulty assumptions, and regulatory compliance can have detrimental effects on businesses. To scale generative AI responsibly, organizations should proactively infuse governance into their AI initiatives. IBM’s watsonx.governance provides a powerful governance, risk, and compliance (GRC) toolkit that ensures transparent and explainable AI workflows. By aligning with trusted technologies and implementing proper governance, organizations can unlock the full potential of generative AI.

Frequently Asked Questions

What is generative AI?

Generative AI uses advanced machine learning algorithms to generate human-like responses to text-based queries. It takes user prompts and utilizes natural language processing to provide direct answers to almost any question asked.

What are the risks of using off-the-shelf generative AI models?

Off-the-shelf generative AI models can have biased data, faulty assumptions, and regulatory compliance issues. This poses risks to organizations, such as reputational damage, regulatory violations, and fines.

How can organizations scale generative AI responsibly?

Organizations can scale generative AI responsibly by proactively infusing governance into their AI initiatives. Implementing tools like IBM’s watsonx.governance ensures transparent and explainable AI workflows, mitigates model risk, and improves compliance with legal and ethical requirements.

What is watsonx.governance?

watsonx.governance is a governance, risk, and compliance (GRC) toolkit designed to operationalize AI lifecycle workflows. It detects and mitigates risks, improves compliance, and provides audit support. It also facilitates collaboration and accountability among distributed teams.

Sources:

• IBM Research
• Precedence Research