When AI Goes Rogue: What Associations and Nonprofits Need to Know to Protect Themselves

Recent developments have raised concerns about what happens when increasingly capable AI systems behave in ways their developers did not anticipate. Headlines sometimes characterize these events as artificial intelligence “going rogue.” That language can make the problem sound like science fiction, but the underlying issue is very real. AI systems do not need to become conscious or deliberately malicious to create significant harm. They simply need access, authority, information, and the ability to take actions that were not adequately controlled.

Recent AI safety disclosures have included models concealing mistakes, using credentials they encountered during testing, communicating outside expected boundaries, and taking actions that developers did not intend. Researchers emphasize that these behaviors do not necessarily mean that AI systems possess malicious intent. Instead, they demonstrate how a system optimizing toward a goal can sometimes find an unexpected way to accomplish it. For associations and nonprofits, that distinction is important because the risk does not depend on whether an AI system has bad intentions. The risk comes from what the system is capable of doing.

AI Is Moving From Answering Questions to Taking Action

For the first several years of widespread generative AI adoption, most organizations interacted with AI through a relatively simple model. A person asked a question, the AI generated a response, and a person decided what to do with it. The human remained firmly in the middle of the process. That model is changing.

The growth of agentic AI allows artificial intelligence systems to interact with applications, databases, websites, email systems, documents, APIs, and other technology services. Instead of simply telling an employee how to perform a task, an AI agent may eventually perform portions of the task itself. It might retrieve information from a CRM, prepare correspondence, update records, schedule activities, generate reports, or communicate with another system.

The security community has already identified “excessive agency” as an important AI risk. The Open Worldwide Application Security Project (OWASP) describes the problem as giving an AI system too much functionality, too many permissions, or too much autonomy, allowing unexpected or manipulated AI behavior to result in damaging actions.

This should sound familiar to technology leaders because the underlying security principle is not new. Organizations have spent decades implementing least privilege, separation of duties, access controls, and approval processes for people. The same principles now need to be applied to AI.

Associations and Nonprofits Have Unique Exposure

Associations and nonprofits can be particularly vulnerable because they frequently maintain large amounts of information about members, donors, volunteers, employees, event attendees, certification holders, students, and other stakeholders. Their systems may contain personally identifiable information, payment information, professional credentials, educational records, donation history, demographic information, and confidential communications.

Many organizations also operate complex technology environments built from interconnected platforms. An association management system may communicate with a financial system, learning management system, email marketing platform, community platform, event registration solution, website, data warehouse, and numerous third-party services. AI introduced into this environment may gain access to considerably more information than leadership initially realizes.

Consider an AI assistant that is authorized to search member records and draft responses to membership questions. If that same AI assistant can modify records, initiate communications, export data, or access other connected applications, the potential impact of an error becomes much larger. A hallucinated answer is inconvenient. An AI system acting on that hallucination can become an operational or cybersecurity incident.

The challenge becomes even greater when employees independently adopt public AI tools without understanding how information submitted to those systems is stored, processed, or used. Confidential board materials, member information, contracts, donor records, personnel information, and strategic plans should never be casually entered into an AI platform simply because doing so makes a task easier.

Governance Must Catch Up With Adoption

Organizations should not respond by attempting to prohibit artificial intelligence altogether. AI has too much potential value, and employees will increasingly expect to use it. Instead, leadership should establish governance that allows innovation within clearly defined boundaries.

The National Institute of Standards and Technology has developed an Artificial Intelligence Risk Management Framework designed to help organizations identify, evaluate, manage, and monitor AI risk. NIST also published a Generative AI Profile addressing risks specifically associated with generative artificial intelligence. These frameworks provide useful starting points even for organizations that do not have large technology or cybersecurity departments.

Governance should begin with knowing where AI is being used. Many executives would probably be surprised by the number of AI capabilities already embedded within applications their organizations own. Microsoft, Salesforce, Google, financial platforms, association management systems, customer service applications, cybersecurity products, marketing platforms, and countless other systems are introducing AI functionality.

Organizations therefore need an AI inventory that identifies approved tools, embedded AI capabilities, business owners, information being accessed, integrations, permissions, and the decisions or actions the AI is allowed to perform.

From there, organizations can establish risk classifications. Using AI to improve grammar in a public newsletter presents considerably less risk than allowing an autonomous agent to change membership records, approve financial transactions, access employee information, or send communications to thousands of constituents.

Keep Humans in Control of High-Risk Decisions

One of the most important safeguards will be determining when a human must remain part of the process. AI can research, summarize, recommend, draft, identify patterns, and prepare actions without necessarily being authorized to execute those actions independently.

Organizations should be particularly cautious when AI touches financial transactions, personnel decisions, member eligibility, certification decisions, donor information, legal matters, security configurations, personally identifiable information, or communications that could materially affect the organization or an individual.

The question leadership should repeatedly ask is simple: What is the worst thing this AI could do with the permissions we have given it?

If the answer includes transferring money, deleting records, exposing confidential information, changing security settings, modifying critical data, or communicating externally without review, the organization should reconsider whether those permissions are necessary.

AI systems should receive the minimum access necessary to accomplish their assigned purpose. Their activities should be logged. Significant actions should require approval. Access should be reviewed regularly, and organizations should have the ability to quickly disable AI integrations when suspicious activity occurs.

Cybersecurity Must Evolve With AI

AI is changing both sides of cybersecurity. Criminals can use AI to create more convincing phishing messages, automate reconnaissance, develop social engineering campaigns, and accelerate attacks. At the same time, security teams can use AI to analyze logs, detect unusual behavior, prioritize vulnerabilities, and respond more quickly.

This means associations and nonprofits cannot treat AI governance and cybersecurity as separate topics. They are becoming increasingly connected.

Organizations should continue strengthening the security fundamentals that remain effective regardless of how sophisticated AI becomes. Multifactor authentication, identity management, endpoint protection, vulnerability management, backups, security awareness, vendor risk management, incident response planning, and continuous monitoring remain essential.

But incident response plans should now also contemplate AI-specific events. What happens if an AI integration begins accessing information unexpectedly? Who can disable it? How are credentials revoked? How does the organization determine what information the AI accessed or changed? Who communicates with members, donors, regulators, insurers, or law enforcement if an incident occurs?

Waiting until an incident happens to answer those questions is no longer sufficient.

Conclusion

Artificial intelligence will almost certainly become an increasingly important part of how associations and nonprofit organizations operate. The objective should not be to fear that evolution, but neither should organizations assume that AI is simply another software feature that can be enabled without careful consideration.

The emerging incidents involving unexpected AI behavior should serve as an early warning. The greatest near-term danger is probably not a science fiction scenario in which artificial intelligence suddenly decides to attack an organization. It is something far more ordinary: an AI system receiving too much access, too much authority, and too little oversight.

Associations and nonprofits already understand the principles required to manage this challenge. Establish governance. Limit access. Protect sensitive information. Monitor activity. Require human approval for significant decisions. Evaluate vendors carefully. Prepare for incidents. Educate employees. Review controls regularly.

The technology may be new, but the responsibility of leadership remains the same. Organizations must understand the risks they are accepting and ensure that technology operates within boundaries consistent with their mission, values, security obligations, and responsibility to the communities they serve.

AI can become an extraordinary tool for associations and nonprofits. The organizations that benefit most from it will not necessarily be the ones that adopt it fastest. They will be the ones that learn how to use it boldly while still maintaining control.