Responsible AI is ultimately a human question.

My approach to artificial intelligence begins with a core conviction: technology should serve people while preserving the qualities that make human participation necessary. My Christian faith is foundational to that view. Scripture teaches that human beings are created in the image of God (Genesis 1:27), shaping how I understand human dignity and our responsibility when creating, using, or governing technology.

I see AI as a powerful tool for extending human capability, from analyzing information to developing ideas and supporting complex work. But capability does not confer moral authority. People remain responsible for deciding what is appropriate and whether an output is accurate or fair. That accountability remains even when AI contributes substantially to a decision or recommendation.

This distinction shapes how I approach AI adoption and design. I consider whether a task should be automated, what kind of judgment it requires, and who bears the consequences when something goes wrong. Meaningful human review requires people to have enough information and authority to question the system and intervene when necessary. AI should support human judgment without transferring responsibilities that properly belong to people.

My faith also shapes how I approach truth. The instruction in 1 Thessalonians 5:21 to “test everything” closely reflects the mindset I believe AI requires. I distinguish between knowing how to use AI and knowing how to evaluate it. Effective use requires both. Users need to question outputs, examine the evidence behind important claims, recognize uncertainty, and know when human expertise is necessary. These evaluative skills become increasingly important as AI moves into higher-stakes work.

“Test everything.”

1 Thessalonians 5:21

This principle is especially important in education. AI can help learners explore ideas, clarify difficult concepts, and consider alternatives. Effective use should still preserve the intellectual work that learning requires. My approach to AI literacy emphasizes working with AI without surrendering independent reasoning. Its value in education depends on whether it strengthens a learner’s ability to think and evaluate or gradually replaces that work.

The same principle guides my work in AI adoption and governance. Successful adoption requires more than deploying a tool. Organizations must decide where AI creates meaningful value, where human judgment should remain central, and how responsibility will be assigned. I view accountability as something that must be designed into an AI-enabled process. A well-governed process should make clear who exercised judgment, what informed the decision, and what happens when the system or process fails. Clear roles, review procedures, documentation, and escalation paths make that accountability operational.

I also understand knowledge and technological capability as forms of stewardship. Following Christ calls me to humility and responsibility in how I use what has been entrusted to me. Stewardship means recognizing both the possibilities and limitations of AI. Technological sophistication does not guarantee wisdom. Responsible practice requires honesty about what AI can and cannot do, attention to the people affected by its use, and accountability for the consequences of the work I help create.

Across my research, teaching, consulting, and technical work, these convictions shape how I approach AI. I seek to protect human dignity, verify important claims, and make accountability visible while approaching technological capability with the humility that stewardship requires.

For me, responsible AI is ultimately a human question. AI may expand what people can do, but greater capability does not reduce our responsibility for how that capability is used. The challenge is to strengthen human work while keeping meaningful judgment and accountability with people.