By Open Frontier Board Member Amanda Wick
What is the common thread across AI, crypto, digital identity, and fintech?
The common thread is data.
These technologies all depend on how data is collected, verified, shared, and used. Without trusted data, digital currency systems cannot function safely. Without responsible rules, innovation can quickly create harms that are difficult or impossible to undo.
Responsible innovation means building responsibility into the process from the beginning. It is not enough to innovate first and regulate after the damage is done.
Why are people skeptical of emerging technology?
Most people are skeptical of change, especially when the change requires them to learn new tools, adapt their behavior, or trust systems they do not understand.
That skepticism is not always irrational. Some of what is happening in AI is genuinely concerning. Hallucinations, misinformation, automation failures, lack of accountability, and overreliance on opaque systems are real problems.
Policymakers should absolutely ask hard questions, but a problem emerges when skepticism becomes the end of the work instead of the beginning. A responsible approach asks where technology helps, where it harms, which companies are doing it well, and what rules are needed to protect people while allowing useful innovation to flourish.
What is the strongest public-interest case for AI and crypto together?
The strongest public-interest case is trust.
Crypto, understood broadly as cryptography and verifiable digital infrastructure, offers tools for establishing trust without relying entirely on traditional intermediaries. AI, meanwhile, depends on massive volumes of data. If the data going into AI systems is low-quality, manipulated, or unverifiable, the outputs will be unreliable too.
Cryptographic tools can help verify provenance, authenticity, and data integrity. That matters in a world where AI systems may otherwise be trained on misinformation, disinformation, marketing claims, synthetic content, or low-quality data.
If AI is going to be useful and trustworthy, we need better ways to know what information went in, what came out, and who is accountable when it fails.
Why is human accountability so important?
Human accountability is important because automated systems fail. When they do, people need recourse.
A system can be efficient most of the time and still create serious harm when it breaks. That is why “human in the loop” should mean more than a vague promise. It should be tied to measurable outcomes, real failure points, and clear obligations.
If an automated system denies access, gives bad information, misidentifies someone, fails to open a door, makes a consequential recommendation, or causes financial harm, there should be a human backstop and a clear path to resolution.
How should policymakers regulate AI and emerging technology?
Policy should be written toward outcomes, not just compliance checklists.
Too much regulation is static. It sets rules, waits decades, and then tries to update after the world has changed. That does not work for fast-moving technologies. Regulators need to become more iterative, more data-driven, and more focused on whether systems are actually producing safe and fair outcomes.
That means requiring companies to measure and report relevant outcomes, working with regulators before harm becomes catastrophic, and adjusting rules as evidence changes. Regulation should be a monitoring and accountability relationship, not just an enforcement action after a crisis.
What should Democrats do differently when communicating about these issues?
Democrats need to rebuild trust.
People are looking for authenticity, honesty, and plainspoken leadership. They do not want slogans. They want leaders who acknowledge real risks, explain real opportunities, and admit when the system has failed them.
Democrats should talk to people in a way that respects their concerns and helps them think critically. The goal should be to provide facts, ask useful questions, and help people understand what is at stake.
What role can Open Frontier play?
Open Frontier is a trusted, nonpartisan truth-teller on emerging technology.
That means helping people understand complex technologies without hype, fearmongering, or partisan reflexes. It means explaining both the risks and the opportunities. It means creating space for better questions, better facts, and better policy, with the goal of creating more informed citizens, policymakers, and institutions capable of making responsible choices.