Ethical Considerations: Navigating Privacy and AI in Family History

April Challenge: A to Z of AI in Genealogy

While I was attending the recent Connections 2025 Genealogy Congress in Queensland, the question of ethics in using AI for Genealogy came up often. Attendees benefitted from the advice and wisdom of keynote speaker, Judy G. Russell - The Legal Genealogist - presented at her keynotes and masterclasses in March. I missed this masterclass “You Be the Judge - Ethics in Action” - I wish I had been there. If you were at this conference and did attend that masterclass, I would love to hear from you. What were the takeaways from Judy Russell that you noted?

Note: References

• For more guidelines on Copyright issues in Australia, view the Copyright Agency.

• For information on The EU Artificial Intelligence Act view this site.

• For information on U.S. Copyright Office view this site.

The content below was created by Claude Sonnet from this prompt from me:

As we continue our exploration of AI in genealogy, we arrive at perhaps the most critical aspect: ethics. While artificial intelligence offers unprecedented capabilities for family historians, it also introduces complex ethical questions about privacy, accuracy, and responsibility. How do we harness the power of AI while respecting the dignity of the living and the dead? What guidelines should inform our use of these powerful new tools?

The Ethical Landscape of AI in Genealogy

Family history research has always involved ethical considerations—questions about sharing sensitive information, respecting privacy, and handling conflicting family narratives. However, AI amplifies these concerns while introducing entirely new ones. The technology can analyze vast datasets, generate content about ancestors, colorize historical photographs, and even create realistic images of ancestors we've never seen.

With such capabilities come profound responsibilities. As genealogists, we serve as stewards of family stories, entrusted with handling personal information with care and integrity. Integrating AI into our practices requires considering how these tools might impact this stewardship.

The Coalition for Responsible AI in Genealogy

Recognizing the need for ethical guidelines, the genealogical community has begun developing frameworks for responsible AI use. The Coalition for Responsible AI in Genealogy has established guiding principles that offer a valuable starting point for ethical practice. These principles address key areas of concern, including accuracy, disclosure, privacy, education, and compliance.

Let's explore each of these principles and consider how they apply to our daily genealogical research.

Accuracy: Verifying AI-Generated Content

The Coalition's first principle focuses on accuracy, recognizing that "AI can generate false, biased, or incorrect content." This concern extends beyond simple factual errors to include biases that might distort our understanding of ancestral lives.

Practical Application:

When using AI to help interpret records, generate narratives about ancestors, or enhance historical images, we should:

• Cross-reference AI-generated information with traditional sources

• Approach AI suggestions as hypotheses rather than conclusions

• Verify AI-enhanced images against sources

• Be especially cautious when AI fills gaps in the historical record

Example Scenario: An AI analyzes census records and suggests a connection between two families based on naming patterns. While intriguing, this remains a hypothesis until verified through conventional genealogical proof standards. The genealogist notes this distinction in their research log, clearly marking which connections are AI-suggested versus traditionally documented.

Disclosure: Transparency in AI Usage

The Coalition emphasizes that "acknowledging the use of AI enhances trust." Transparency about when and how AI has influenced our work allows others to evaluate our conclusions and understand our methodological choices.

Practical Application:

We should disclose AI involvement when:

• Publishing family histories that incorporate AI-generated content

• Sharing enhanced or colorized historical photographs

• Presenting research conclusions influenced by AI analysis

• Creating content where AI has assisted with narrative construction

Example Scenario: A family historian uses AI to colorize a black-and-white photograph from 1920, then shares it on a genealogy platform. They include a clear note: "Original black-and-white photograph colorized using [specific AI tool] on [date]. Colors represent a technological interpretation and may not reflect historical accuracy."

Privacy: Safeguarding Sensitive Information

The Coalition warns that "AI usage can lead to unintended data exposure, putting private information at risk of being publicly disclosed." This concern becomes particularly acute as AI systems often require access to extensive data to function effectively.

Practical Application:

To protect privacy when using AI, we should:

• Be cautious about uploading sensitive family documents to AI platforms

• Consider the privacy implications of information shared about living relatives

• Review terms of service to understand how uploaded data might be used

• Use anonymization techniques when appropriate

• Be particularly cautious with genetic genealogy data

Example Scenario: A genealogist wants to use AI to transcribe family letters that mention a still-living relative's health condition. Instead of uploading the original letters, they edit copies to redact sensitive information before processing, protecting their relative's medical privacy while still benefiting from AI transcription capabilities.

Education: Understanding AI Capabilities and Limitations

The Coalition notes that "the use of AI creates new opportunities and risks," emphasizing the importance of education to "maximize its benefits and minimize its risks." Without adequate understanding, genealogists may either over-rely on AI or miss valuable opportunities it presents.

Practical Application:

To use AI responsibly, genealogists should:

• Invest time in understanding how specific AI tools function

• Follow developments in AI capabilities relevant to genealogy

• Participate in community discussions about ethical AI use

• Stay informed about best practices as they evolve

• Share knowledge with fellow researchers

Example Scenario: A genealogical society organizes a monthly study group focused on AI tools. Members take turns researching different aspects of AI in genealogy, presenting their findings to the group, and discussing ethical implications together. This collaborative approach helps all members build technical literacy and ethical awareness simultaneously.

Compliance: Respecting Legal and Contractual Obligations

The Coalition emphasizes that "adherence to legal and contractual obligations is essential for the ethical use of AI." This includes consideration of intellectual property rights, terms of service agreements, and data privacy regulations.

Practical Application:

Legal and contractual compliance requires genealogists to:

• Respect copyright when using AI to process historical materials

• Understand how data privacy laws (like GDPR in Europe) apply to their research

• Review and adhere to terms of service for AI platforms

• Consider jurisdiction-specific regulations that might apply to their work

• Ensure proper licensing for commercial applications of AI-enhanced genealogical content

Example Scenario: A genealogist developing a book about local history uses AI to analyze newspaper archives. Before publication, they ensure all necessary permissions are secured for republishing content, even in AI-processed form, and verify compliance with copyright laws in their jurisdiction.

Beyond the Principles: Nuanced Ethical Considerations

While the Coalition's principles provide an excellent foundation, several additional ethical dimensions deserve exploration.

Ancestral Dignity and Representation

Genealogy ultimately concerns real people who lived real lives. AI can sometimes inadvertently reduce these complex individuals to data points or generate content that misrepresents their lived experiences.

Ethical Approach: Consider how AI-generated content might affect the dignity of ancestors. Would they recognize themselves in the narratives we create? Are we using technology to illuminate their lives authentically, or are we distorting their experiences through a modern technological lens?

Cultural Sensitivity and Context

AI systems are often trained on data that reflects dominant cultural perspectives. This can lead to misinterpretations when analyzing records from marginalized communities or indigenous populations.

Ethical Approach: Supplement AI analysis with cultural and historical context. Consult with cultural experts when appropriate. Recognize the limitations of AI in understanding cultural nuances, especially when working with records from communities different from your own.

The Right to be Forgotten vs. Historical Truth

AI makes information more accessible and persistent than ever before. This raises questions about whether individuals have a "right to be forgotten" in family histories, particularly when sensitive information is involved.

Ethical Approach: Consider the competing values of historical accuracy and individual privacy. For recent generations, err on the side of privacy when handling sensitive information. For more distant ancestors, weigh the historical significance against potential harm to living descendants.

Algorithmic Bias and Historical Inequities

AI systems can inadvertently perpetuate historical biases present in their training data. This is particularly concerning in genealogy, where historical records already under-represent many populations.

Ethical Approach: Maintain awareness of how AI might reinforce historical inequities. Actively seek out complementary sources for under-documented populations. Be transparent about the limitations of AI-assisted research in contexts where historical documentation was systematically biased.

Practical Guidelines for Ethical AI Use in Genealogy

Drawing from these principles, here are practical guidelines for incorporating AI into genealogical research ethically:

1. Adopt a Hybrid Approach

Use AI as an assistant rather than a replacement for traditional genealogical methods. The most effective research combines computational power with human judgment, historical knowledge, and ethical sensitivity.

2. Document Your Methodology

Maintain detailed records of how AI was used in your research process. Note which conclusions were suggested by AI versus those reached through traditional methods. This transparency enhances credibility and helps others evaluate your findings.

3. Implement Privacy Protocols

Develop personal protocols for handling different types of information. Consider creating tiers of sensitivity, with stricter protocols for genetic information, medical details, and data about living individuals.

4. Seek Informed Consent When Possible

When using AI to process information about living relatives, seek their consent when practical. Explain how their information will be used and any potential risks involved.

5. Engage in Community Conversations

Participate in broader discussions about ethical AI use in genealogy. Share your experiences, learn from others, and contribute to the development of community standards.

6. Review Regularly

As AI technologies evolve rapidly, regularly review and update your ethical practices. What was appropriate last year may need reconsideration as capabilities change.

Case Study: The Three Generations Approach

One practical framework for navigating privacy concerns is the "Three Generations Approach," which suggests different ethical considerations based on temporal proximity:

Recent Generation (Living Relatives):

• Highest privacy protection

• Explicit consent is preferred before using AI with their information

• Minimal public sharing of AI-processed information

• Focus on security when using AI platforms

Middle Generation (Grandparents' Era):

• Moderate privacy protection

• Consider known family sensitivities

• More selective sharing of AI-enhanced materials

• Balance privacy with historical documentation

Distant Generations (Beyond Great-Grandparents):

• Focus shifts toward historical accuracy and preservation

• Greater latitude for AI analysis and enhancement

• More extensive sharing permitted

• Emphasis on cultural context and representation

This framework provides flexible guidance while acknowledging that privacy concerns generally diminish with historical distance.

Looking Forward: Emerging Ethical Frontiers

As AI capabilities continue to evolve, new ethical questions will emerge. Some areas likely to require attention soon include:

• AI-Generated Visual Representations

  • As AI becomes increasingly capable of generating photorealistic images of ancestors based on descriptions or DNA, we will face questions about the authenticity of such representations and how they should be shared.

• Predictive Genealogy

  • AI systems may soon predict family connections with high accuracy based on partial information. This raises questions about how to handle AI-suggested relationships that cannot be conventionally documented.

• Voice Recreation

  • Technology now enables the "resurrection" of voices based on written records. Is it appropriate to create simulated voices of ancestors reading their letters or diaries? Under what circumstances?

• Emotional Impact

  • The deeply personal nature of family history means AI applications can have significant emotional impacts on individuals. How do we balance technological possibilities with psychological well-being?

A Call for Reflective Practice

The intersection of AI and genealogy offers tremendous opportunities to deepen our understanding of family history. However, realizing these benefits requires thoughtful attention to ethical considerations. By embracing principles of accuracy, disclosure, privacy, education, and compliance—and by engaging in ongoing reflection about emerging ethical questions—we can ensure that AI serves as a positive force in genealogical research.

As you incorporate AI into your family history work, consider regularly asking yourself: "How would my ancestors feel about how I'm using this technology? How might this affect living relatives? Am I using AI in service of deeper understanding and connection, or merely for convenience or novelty?"

By maintaining this reflective stance, we can harness AI's capabilities while honoring our responsibilities as caretakers of family history.

For more examples and detailed guidance on applying these ethical principles in specific genealogical research scenarios, visit the Coalition for Responsible AI in Genealogy's examples page at https://craigen.org/examples/.

---

Ready to elevate your genealogy research with AI? Come and learn how to become an AI-skilled ancestral storyteller in the course, "Beyond the Pen: Using AI to Transform Ancestral Storytelling." Discover practical techniques and ethical approaches to incorporating AI into your family history work. Join us at Beyond the Pen and transform how you preserve your family's legacy!

---

How do you approach ethical considerations when using AI in your genealogical research? Have you encountered situations that raised ethical questions? Share your experiences and insights in the comments below.

NEWS ITEM! CLAUDE FOR EDUCATION

Anthropic has just announced the introduction of Claude for Education, a specialized version of Claude tailored for higher education institutions. This initiative equips universities to develop and implement AI-enabled approaches across teaching, learning, and administration—ensuring educators and students play a key role in actively shaping AI's role in society. Now this is a step in the right direction!