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.

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.