AI and Tribal Data Sovereignty: Why Control Matters
By Tiffany Edmonds
Artificial intelligence is creating new opportunities for organizations to work with information in different ways. AI can help summarize large amounts of text, identify relevant information, assist with everyday tasks, and make complex datasets easier to navigate.
For Tribal Nations and Tribal programs, however, the conversation cannot begin and end with what AI can do. It also has to include who controls the data AI interacts with, how that information is accessed, what it is used for, and what role the Tribe has in determining those boundaries.
That makes AI and Tribal data sovereignty closely connected conversations.
Tribal programs may manage information related to families, children, court involvement, victim services, financial assistance, employment, elder services, probation, enrollment, and many other areas of Tribal government. Much of that information is sensitive. Some of it may also have significance beyond the individual record because it relates to Tribal citizens, communities, programs, and governance. As AI becomes more common in the technology used by governments and service organizations, maintaining control over that information matters.
Data Sovereignty Is About More Than Data Security
Data security is important, but Tribal data sovereignty is a broader issue.
The Native Nations Institute describes Indigenous data sovereignty as the right of a nation to govern the collection, ownership, and application of its own data. That right derives from the inherent sovereignty of Tribal Nations to govern their peoples, lands, and resources.
A conversation about security might focus on whether information is protected from unauthorized access. A sovereignty conversation goes further. It considers who has authority over the data in the first place and who gets to determine how that information may be collected, accessed, analyzed, shared, and used.
AI introduces another layer to those decisions because data may no longer simply be stored or retrieved. An AI-enabled system may also be able to interact with information to summarize it, identify patterns within it, or help a user locate relevant information. For a Tribal Nation, adopting that type of technology should not mean giving up control over the data that makes those capabilities possible.
AI Changes How We Interact With Information
Traditional case management systems generally rely on users to navigate records, search for information, review case notes, run reports, and interpret what they find. AI can create a different kind of interaction. Instead of manually reviewing multiple pieces of information, for example, a user might ask an AI assistant to summarize existing case notes. AI may also help users identify useful ways to view or report on data already within a system.
That can make information easier to work with. But it also means organizations need to think carefully about what information an AI tool can access and what happens when it does. This is one reason AI and Tribal data sovereignty should be considered together rather than treating AI implementation as a purely technical project.
The important issue is not simply whether an AI tool can interact with data. It is whether that interaction happens within boundaries established and understood by the organization responsible for that data.
Control Should Extend to AI Access
Most case management systems already involve decisions about access.
A staff member working in one program may need different information than a supervisor. Court staff may have different responsibilities than probation staff. A victim services program may manage information that requires particularly careful controls. Tribal governments may operate multiple programs that need to collaborate in some areas while maintaining clear boundaries in others.
Introducing AI does not eliminate the need for those distinctions. If anything, it makes them more important. Organizations need a clear understanding of what information an AI capability can interact with and under what circumstances.
That includes thinking about areas such as:
- What information is available to the AI capability?
- Which users are permitted to use AI-enabled functions?
- What information can a particular user access through those functions?
- What happens to information when it is processed by an AI service?
- How does the technology provider handle and protect that information?
- Are the boundaries around AI access understandable to the organization using the system?
- Can the organization establish governance policies around appropriate AI use?
The answers will not necessarily be identical for every Tribal Nation or every program. And that is part of the point. Data governance should reflect the priorities, policies, responsibilities, and circumstances of the organization governing the data—not simply the capabilities of the technology.
Privacy and Sovereignty Are Related, but They Are Not Identical
AI discussions frequently focus on privacy, and appropriately so. Programs working with children, families, court participants, victims, elders, or individuals receiving assistance have substantial reasons to think carefully about sensitive information. But an individual privacy framework does not necessarily address every concern associated with Indigenous data.
The Global Indigenous Data Alliance’s CARE Principles for Indigenous Data Governance emphasize Collective Benefit, Authority to Control, Responsibility, and Ethics. The framework recognizes that Indigenous data governance involves collective rights and interests in addition to individual considerations.
That provides an important perspective for emerging technologies. Protecting an individual record from inappropriate disclosure is important. So is recognizing the authority of Tribal Nations to determine how information concerning their citizens, programs, communities, and governments is managed and used. For technology providers working with Tribal governments, respecting that distinction requires more than applying a standard privacy message to every customer. It requires recognizing that control itself matters.
Transparency From Technology Providers Matters
Organizations cannot make informed decisions about AI when they do not understand how it works with their information.
Technology providers do not need to turn every conversation into a highly technical explanation of artificial intelligence. But they should be able to clearly explain how their AI capabilities relate to customer data.
That becomes especially important when an AI feature is connected to a system containing case information rather than being used as a completely separate general-purpose tool. Tribal programs should be able to understand what role the AI technology plays, what information it can interact with, and where the responsibilities of the technology provider begin and end.
Transparency also helps organizations develop their own policies.
A Tribal Nation cannot effectively establish expectations around AI use if staff and leadership do not understand what the technology is actually doing. Governance becomes much more difficult when AI is treated as a mysterious feature operating somewhere in the background. Responsible implementation should make the technology easier to understand—not harder.
Governance Is an Organizational Decision, Not Just a Technology Setting
There is another important side to AI and Tribal data sovereignty: technology alone cannot establish good governance. Software can provide tools and controls, but each organization still determines how technology fits within its own policies and operations.
A Tribal court may approach AI differently than a TANF program. An ICW or ICWA program may have different considerations than an elder support department. Victim services programs, Tribal probation departments, and administrative programs may each work with different information, responsibilities, and levels of sensitivity. There may not be one AI policy that makes sense across every department.
Governance can include determining when AI assistance is appropriate, what information staff should or should not provide to an AI tool, when AI-generated information requires additional review, and who is responsible for establishing those expectations. Those decisions should remain grounded in the Tribe’s own priorities and governance structures.
This is also why conversations about responsible AI should involve more than an IT department. Depending on the organization, program leadership, administrators, legal counsel, information technology staff, records personnel, and the people doing the day-to-day work may all bring important perspectives to how AI should be used.
AI Should Work Within the Relationship an Organization Has With Its Data
At Handel, we believe the value of AI in case management comes from helping people work more effectively with information—not from separating organizations from control of that information. That perspective has shaped how we think about RiteTrack Assistant, our AI-enabled add-on within RiteTrack.
RiteTrack Assistant is designed to interact with RiteTrack data and provide AI assistance within the case management environment. Among its capabilities, it can summarize case notes, help users identify dashboard tiles they may find useful based on their data, suggest useful reports based on available data, provide general AI assistance, and escalate unresolved RiteTrack-specific questions to the customer’s project manager.
Those capabilities illustrate why the larger governance conversation matters. AI becomes more useful when it can work with relevant information. But as its access to information becomes more meaningful, questions of ownership, privacy, permissions, transparency, and control become more meaningful as well. The goal should not be to introduce AI simply because the technology is available. The goal should be to determine where AI can provide practical value while maintaining appropriate control over the information on which Tribal programs depend.
Keeping Sovereignty at the Center
Artificial intelligence will continue to change how organizations interact with data. The technology will evolve, new capabilities will emerge, and AI will likely become increasingly integrated into the systems people use every day.
The principles surrounding Tribal data should not become secondary as that happens. For Tribal Nations, AI and Tribal data sovereignty belong in the same conversation. AI can provide new ways to understand and use information, but technology providers should not be the ones determining what control means for a Tribal Nation. Tribes should remain central to decisions about their data, including how emerging technologies interact with it. That means keeping ownership, governance, privacy, permissions, transparency, and responsible use in view as AI capabilities develop.
The most useful technology is not simply technology that can do more. It is technology that supports the people and organizations using it while respecting their authority over the information that makes that work possible.
Interested in how AI can fit into case management without losing sight of data control? Learn more about RiteTrack Assistant and how we’re approaching AI within RiteTrack.
