Information Governance in the age of AI

43% answered Yes; 57% answered No or Unsure

The expanding influence of AI on Information Governance

The rise and swift integration of AI has brought new concerns related to risk management across the globe. Central to these concerns is Information Governance, which plays a pivotal role in understanding and managing the risks associated with AI technologies and their impact on information, data, and records. All of which necessitate clear policies for usage.

Video clip: Trends in the rise of AI in large organizations

The rapid advancement in, and adoption of, AI technologies poses specific challenges in information security, intellectual property, and regulatory restrictions. New fiscal opportunities are emerging as content providers partner with major tech companies to train AI models. The growing AI data market anticipates a valuation of $30 billion in the coming years. There’s no question that AI is pushing the limits of how we define and balance information security and financial opportunity.

Navigating the regulatory landscape

As AI integrates rapidly into the global economy, the urgency to regulate the AI space intensifies. Vigilance around cybersecurity, copyright law, and the potential for political and media manipulation with deep fakes continues to be front and center for today’s policymakers. Governments worldwide are stepping in to address the risks associated with AI models and their implications on society. The European Union’s AI Act is a prominent example of such intervention, highlighting a significant shift toward model risk management and third-party risk scrutiny. 

Organizations, likewise, are slowly beginning to establish usage policies, codes of practice, and centers of excellence as evidenced by our polling question results. This trend is fueled by the need to ensure that AI systems are safe, compliant, and ethical and align with the organization’s broader Information Governance policies. The challenges presented by the use of AI require a holistic approach to governance. The focus on regulating AI should not only protect customers but also establish a foundation of trust in AI technologies themselves, and the data used for modeling, which is essential for their successful integration.

Video clip: Where is AI increasing the risk in Data Governance?

The trustworthiness of data is a key concern in the growing use of AI

One thing that AI hasn’t changed this year? The need for data integrity. As they have always done, organizations must use trusted data sources to preserve the validity, transparency, and accuracy of their technology-driven data outcomes. “Any risks we were concerned about before with data are just becoming exponentially bigger,” says McIssac.

Understanding data lineage and managing your organization’s data hygiene and data supply chain have always been important, but now they are critical in establishing trust in AI-driven output. According to a recent survey from Salesforce, nearly 70% of workers who don’t trust the data that trains AI are hesitant to adopt it. Privacy, compliance, transparency, and vigilance against AI bias are imperative for building and ensuring this trust.

In the age of AI, it’s more important than ever to integrate your organization’s data supply chain within organizational controls and governance frameworks. How are your vendors using AI? Where do your AI models source their data sets? This governance of data is at the heart of AI adoption and its implications for the future.

Video clip: Building trust in data for successful AI strategy

What’s next for Information Governance in the age of AI?

As AI continues its rapid integration into various industries, a significant focus is placed on governance and risk management. The role of Information Governance is critical in upholding standards, contributing to AI governance, and ensuring the trustworthiness of AI applications now and in the future.

The development of new roles such as Chief AI Officer, along with the establishment of AI centers of excellence, are integral parts of many organizations’ AI strategies. Making connections between Information Governance and others in your organization who seek the secure and effective adoption of AI will open doors for further opportunity.

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Interested in learning more about this topic? Visit Iron Mountain’s 2024 Education Series to watch the on-demand recording of Information Governance in the age of AI and to register for upcoming webinars.

Information Governance in the age of AI

We’ve got the highlights from our expert panel Kelly McIsaac and Brian O’Flynn on:

• The expanding influence and risk of AI 
• The trustworthiness of data as a key concern with AI
• The evolving role of information and data governance

Watch now on-demand