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Technology, Data Privacy, & AI

I will implement rigorous algorithmic accountability standards to ensure that AI serves the public interest and strengthens human judgment, rather than automating bias or stripping New Yorkers of their civil liberties.

Artificial intelligence has already begun making decisions that shape people’s lives — who gets hired, who gets housing, who receives healthcare, credit, or public benefits, and who is flagged for investigation by law enforcement. When these systems are opaque, untested, or unaccountable, they can replicate bias, magnify harm at scale, and strip people of meaningful recourse.

AI systems trained on flawed data or deployed without safeguards have already exacerbated harm to immigrants, low-income residents, seniors, and marginalized communities. Our government has seriously lagged behind technological innovation and must set clear, enforceable rules that ensure AI strengthens human judgment, protects civil liberties, and serves the public interest.

Strong Data Protection

  • Limit data collection and retention by government agencies and contractors to what is strictly necessary for a defined public purpose

  • Require baseline cybersecurity and privacy safeguards for any entity handling state or municipal data

  • Impose statutory penalties for negligent data misuse, unauthorized sharing, or preventable breaches

  • Classify sensitive personal data held by the state as protected civic infrastructure

  • Require equity impact assessments for data systems that disproportionately affect vulnerable communities

  • Create a legal “right to be forgotten” similar to the EU

Regulate AI in High-Risk Decisions

  • Require human review of AI assisted decision-making in high-stakes areas like lay-offs, housing, loan approval, court sentencing, etc.

  • Require transparency disclosures when AI is used in hiring, housing, credit, healthcare, or public benefits decisions

  • Mandate bias testing and performance audits for AI systems used in consequential determinations

  • Require clear documentation of decision logic and system limitations

  • Guarantee a right to explanation and appeal for individuals affected by automated decisions

Risk-Based AI Regulation

  • Establish a tiered regulatory framework that applies stricter oversight to higher-risk AI uses and exempt low-risk uses from unnecessary regulatory burden to spur innovation

  • Regularly update risk classifications to reflect evolving technology and evidence

AI Governance Inside Government

  • Require pre-deployment risk assessments for AI tools procured by state or local agencies

  • Mandate audit trails for automated or algorithm-assisted government decisions

  • Require public reporting when AI meaningfully affects eligibility for rights, benefits, or enforcement actions

  • Prohibit agencies from delegating final decision-making authority to vendors or black-box systems

  • Establish uniform statewide standards for government AI procurement and oversight

Consumer Protection in Digital Markets

  • Expand enforcement authority against online fraud and deceptive digital practices

  • Ban manipulative interface designs like hidden fees and opt-ins that attempt to circumvent informed consent

  • Increase penalties for digital exploitation targeting seniors, children, or vulnerable consumers

  • Clarify that consumer protection laws apply fully to digital and AI-driven services

  • Ban dynamic pricing in stores

Competition, Repairability, and User Choice

  • Strengthen and enforce right-to-repair laws for digital devices and connected products

  • Require interoperability standards (e.g., uniform charging ports)

  • Promote repair access to lower costs and reduce electronic waste

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