Human-Centric Blockchain Policies in the Age of AI

AI agents are transforming finance. The decisions made by these machines are often significant - affecting real people’s lives and their finances. As CFPB Director Rohit Chopra warns, data-driven systems now make “more and more decisions about our lives, including whether we get a loan”. This means that behind every smart contract or automated credit decision, a person’s future is at stake.

In this context, policymakers must guide crypto and Web3 innovation toward human flourishing. Blockchain and decentralised finance (DeFi) hold promise for financial inclusion and autonomy: they can reduce poverty by widening access to credit and savings, and they can empower individuals with control over their digital identity. Yet without oversight, these technologies risk entrenching bias and exclusion, and spawning opaque autonomous systems. Thoughtful regulation – clear rules enforced with technology – can foster innovation while protecting consumers and promoting equity. In the balance between risk and progress, the guiding principle must be human-centric: Technology should serve society, not the other way around.

Balancing Innovation and Responsibility

Crypto and Web3 enthusiasts often invoke freedom and innovation. Indeed, a well‐regulated crypto industry can “foster a healthy environment” for entrepreneurship by removing legal uncertainties, while protecting consumers’ interests and financial choices . Clear regulatory frameworks encourage institutional adoption, for example, enabling crypto ETFs and tokenised assets – and can head off catastrophic losses from fraud or exchange failures . At the same time, heavy-handed rules risk stifling innovation. Experts warn that burdensome compliance costs and blanket bans might shut out small innovators and push projects “off the table from the onset” . The challenge is to strike a middle ground. As one analyst puts it, we must “seize… opportunities” of blockchain while shaping conditions so “all people are able to benefit” . Success will require flexible, technology-neutral rules - even embedded into the code itself - that keep entrepreneurs creative but accountable. For example, researchers have proposed “embedded supervision”: using the transparency of public ledgers so regulators can automatically audit transactions and enforce compliance . Regulatory sandboxes and cross-border coordination can help, as well as evidence based rule-making. By carefully calibrating these approaches, governments can protect investors and financial stability without killing innovation. As Secretariat of the UK All-Party Parliamentary Group on Blockchain Technologies, we regularly host policy Roundtables to ensure sensible and evidence-based policies are made for Blockchain and Cryptoasset technologies.

Guarding Against Bias and Exclusion

At the same time, AI-driven finance brings serious human risks. Algorithmic lending, trading bots, and credit-scoring programs are often black boxes whose outputs can reflect hidden biases. Independent reviews note that “algorithmic bias” in AI can perpetuate discrimination in credit, insurance, or hiring unless rigorously checked . Regulators have explicitly warned that unaccountable automated systems may “perpetuate unlawful bias, automate unlawful discrimination, and produce other harmful outcomes”. In practice, this could mean qualified borrowers are denied loans or underserved communities get poorer terms, simply because historical data was skewed. To guard against this, experts urge transparency and human oversight. For example, guidelines and algorithm registries can expose AI decision logic to inspection. Industry leaders echo this need: a recent EY report stresses that “ensuring that AI systems operate with fairness and transparency remains a paramount concern,” requiring robust governance .

Financial exclusion is another pitfall. Even promising technologies can leave vulnerable people behind. If banks simply “de-risk” by denying services to entire regions or populations, innovation will deepen inequality. The governments around the globe have urged that anti-money-laundering rules be calibrated with financial inclusion in mind , to avoid shutting out the poor. Likewise, regulators note that opaque algorithms erode trust and can disproportionately exclude women and minorities, who may lack data or credentials that AI expects . Thoughtful policy must counteract these trends. That means promoting inclusive design (e.g. mobile banking for rural users, or AI-trained on diverse datasets) and ensuring human review of critical decisions. It also calls for protecting personal data: in the Web3 vision, digital sovereignty means treating “users as persons, not cogs in the data economy machine” , so individuals control their own identity and information. Ensuring data portability and privacy (for example, via self-sovereign identity protocols) keeps people at the centre.

Another risk is unaccountable autonomy. DeFi promises markets with no intermediaries, but this can mean no one to call for help when things go wrong. A GAO study found that fully decentralised protocols lack anyone to police fraud, enforce anti-money-laundering rules, or protect users if a platform collapses . Moreover, these systems tend to interconnect: a failure in one can cascade and infect others, compounding risk. These facts are not abstract: they manifest in events like the collapse of FTX, which left ordinary investors penniless. Regulations (or built-in safeguards) should therefore ensure some form of accountability. This includes licensing requirements for crypto platforms, reserve standards for stablecoins, and formal coordination, among regulators . By embedding safety nets into the system – for example, through code that pauses or audits contracts under certain conditions – policymakers can help prevent “wild west” scenarios .

Innovation Through Inclusive Regulation

It’s important to emphasise that sensible regulation should promote, not hinder progress. Blockchain and AI are not mutually exclusive fields: their convergence is already producing new solutions. For example, experts note that combining AI with blockchain could fix some AI ills. By recording AI training data and decisions on an immutable ledger, every step becomes auditable and traceable . Decentralised governance (via smart contracts or DAOs) could even enforce ethical rules, halting biased algorithms or triggering audits when anomalies appear . In short, blockchain transparency can make AI “less mysterious“ and potentially less dangerous.

Similarly, AI can enhance blockchain applications. Imagine automated smart contracts that self-audit for compliance, or AI-driven analysis of on-chain data to detect fraud early. These synergies can improve security and scalability. Policymakers should encourage experimentation: funding pilot projects, supporting research, and updating laws to accommodate cross-technology uses. Collaborative initiatives such as the UN Principles for Responsible Digital Payments have shown how multi-stakeholder governance can guide ethical deployment. Financial centers should consider regulatory sandboxes for crypto and AI – safe spaces to test innovations with regulatory oversight.

At the same time, regulators must communicate clearly. The unregulated grey area is dangerous: as one industry commentator noted, many blockchain entrepreneurs have “existed in a legal grey area with little guidance on what was permitted” . When rules are clarified, investment flows back and creativity flourishes. Indeed, the EU’s Markets in Crypto-Assets (MiCA) framework is providing some clarity on crypto tokens, which some argue will unlock institutional engagement. The U.S. has taken a more hands-off start (save for some enforcement actions), but even there the move toward clear rules is seen as pro-innovation. The key is balance: rules should prevent fraud and protect privacy, yet not dismantle the very decentralisation that gives crypto its power.

Empowering People and Upholding Rights

Above all, regulation must be human-centric. The ultimate measure of success is whether ordinary people gain safety and opportunity. Digital sovereignty - the idea that individuals and communities control their digital destiny – should guide policy. As advocates say, blockchain and Web3 should “empower individuals, protect digital rights, and drive inclusive growth” . In practice this means: giving users ownership of their personal data (not locking it into walled gardens), ensuring open access to financial services (avoiding a situation where only tech-savvy elites benefit), and protecting privacy. For example, decentralised identity systems can let people prove who they are without ceding control to a central database.

Inclusivity also means gender and social equity. The intersection of AI and finance has historically been male-dominated, and unless explicitly addressed, biases can exclude women and minorities. Policies should incentivise diverse development teams and consider the needs of marginalised groups. A financial AI system trained only on urban data won’t serve rural communities. The UN’s Responsible Finance Forum notes that tackling the gender gap in AI could significantly expand financial access for women . Regulation should encourage such inclusive innovation – for instance, by funding financial literacy and technology training for underserved populations.

Finally, global fairness matters. In the era of algorithms, data flows across borders, and so should regulatory dialogue. National jurisdictions increasingly emphasise “digital sovereignty” in the sense of being able to set independent standards . But if each country erects conflicting barriers, the global digital economy may fracture. Stakeholders have warned that failure to cooperate risks pushing cutting-edge blockchain development into deployments beyond the reach of governments. Thus, international cooperation is crucial. Shared principles on privacy, data protection, and ethical AI can help ensure that innovations benefit citizens worldwide.

A Call for Thoughtful Policy

Policymakers stand at a crossroads. On one hand lies a future where digital tools enable fairer, more resilient economies; on the other, a path marred by bias, exclusion, and instability. We urge decision-makers to choose wisely. Regulations must protect people first, ensuring fairness, privacy, and a safety net, while still fuelling progress. This means ongoing dialogue with all stakeholders and communities, not one-time rulebooks. For example, embedding accountability mechanisms (like transparent audit trails and public algorithm registries ) will build trust. It means avoiding extreme positions: neither laissez-faire neglect nor totalitarian control. In practice, that might look like well-resourced supervisory agencies (coordinated as the GAO suggests ), data governance laws that treat privacy as a right, and adaptive regulations that evolve as AI and blockchain advance.

The evidence is clear: when done right, regulation can be an enabler. It can attract institutional funds, protect families from fraud, and give innovators the confidence to build with users in mind. It can encourage solutions that blend AI and decentralised tech for the public good. Most importantly, human lives are the touchstone. If regulations lead to greater trust, inclusion, and empowerment, then they have served their purpose.

To sum up, we must not view AI as threat to the human spirit, but as a tool that, with careful stewardship, can advance it. By enacting balanced, transparent, and inclusive policies, we ensure that the future of finance is aligned with human values. Let us harness innovation to strengthen communities, uplift the underserved, and preserve freedom, so that technology truly serves us, not the other way around .

(9 August 2025)

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Prof Dr Naseem Naqvi MBE FBBA

UK National Honour Recipient for Services to Web3 Technologies

President, The British Blockchain Association

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