Artificial intelligence (AI) is becoming business critical for most organisations. Today AI presents an enormous opportunity to turn data into insights, spark action based on better decision making and amplify human capabilities for the greater good. However, success is not guaranteed. AI models, including machine learning (ML), large language, and foundation models driving generative AI, need guardrails to ensure they are operating reliably, with visibility and accountability into the model process. Governance provides the guardrails driving the ability to direct, manage and monitor the AI activities of your organisation.

Lack of AI governance can lead to dire consequences, exposing your organisation to risky, unfair decisions and non-compliance with the growing and changing AI regulations. Either of these situations can lead to litigation, costly/timely audits, fines and damage to your organisation’s reputation. Consider the fact that the cost of noncompliance with the proposed European AI Union Act can be as high as 6% of a company’s global revenue.

Do you want to wait till “after the fact” to take action? If not, join IBM and a select group of your industry peers to discuss best practices and steps in driving responsible, transparent and explainable AI.