AI Ethics · Wzdom Research · Q2 2026
AI affects your job, credit,
and health. Who's accountable?
The same AI systems companies use to screen job applications, approve loans, and triage healthcare are operating without meaningful oversight in most of the world. This guide covers what the law actually requires, what companies have genuinely committed to, and — most importantly — what you can do when they fall short.
The law is still catching up. Wzdom Privacy monitors what actually leaves your device, right now.
Download free →While regulators debate — your data moves
Laws take years to pass. Wzdom Privacy monitors what actually leaves your device, right now.
100% on-device · No account required · Free during beta
Why this matters right now
AI is making decisions about your life — without your knowledge.
AI systems are not just chatbots. The same technology is being used to screen your job application, set your insurance premium, flag your loan, and determine your bail. Most people never find out. Most jurisdictions have no rules requiring that they be told.
In most cases, you will never know what system made the decision, what data it used, whether bias affected the outcome, or who can be held accountable. That is the problem Wzdom Research tracks.
Core principles
The 7 core AI ethics principles
There is no global AI ethics standard — yet. But there is broad consensus across the EU AI Act, OECD AI Principles, IEEE Ethically Aligned Design, and most corporate ethics frameworks around seven foundational ideas. These principles are the lens through which we evaluate every AI system.
Fairness & Non-discrimination
AI systems must not produce discriminatory outcomes based on race, gender, age, disability, or other protected characteristics. Bias in training data propagates into real-world harm.
Transparency
Users must be told when they are interacting with AI, and must have access to meaningful explanations of how AI decisions that affect them are made.
Safety & Security
AI systems must be robust against adversarial attacks, misuse, and failure. The consequences of failure must be proportionate to the degree of human oversight maintained.
Privacy
AI must respect data protection principles: data minimisation, purpose limitation, and the right to erasure. Training data must be lawfully obtained.
Human Oversight
High-stakes AI decisions — hiring, credit, healthcare, law enforcement — must have meaningful human review. Fully automated consequential decisions require explicit legal authority.
Environmental Responsibility
Training large AI models consumes enormous energy. AI companies must disclose carbon footprint and commit to measurable reduction targets.
Accountability
There must always be a legal person (company or individual) accountable for an AI system's outcomes. "The algorithm decided" is not an acceptable legal or ethical defense.
Wzdom's position
What we believe about AI
Wzdom Research doesn't just report on AI ethics — we have a position. These are the principles we apply to our own products and hold other AI companies to. We publish them so you can hold us to the same standard.
- ◆ AI systems that affect people's lives must be transparent — users must know when AI is involved in a decision.
- ◆ AI must be privacy-respecting by default — data minimisation is not a compliance checkbox, it is a design requirement.
- ◆ High-stakes AI decisions must be explainable and reviewable — "the algorithm decided" is never an acceptable final answer.
- ◆ There must always be a human accountable for an AI system's outcomes — accountability cannot be delegated to a model.
- ◆ AI should preserve user autonomy — systems that manipulate, exploit, or surveil users without meaningful consent are unethical regardless of legal status.
- ◆ AI that runs entirely on your device is the highest-trust architecture possible — it is the model Wzdom builds to.
Global regulation tracker
Where AI regulation stands — worldwide
12 jurisdictions tracked across Europe, the Americas, Asia-Pacific, the Middle East, and South Asia. Hover any highlighted country for details.
Jurisdiction details
Global regulations
Global AI ethics regulations — 2026 status
AI ethics is finally moving from voluntary commitments to binding law — but the pace is slower than the technology. The EU has led with the world's first comprehensive AI regulation, and the penalties are real. The US lags significantly — no federal law exists, and the patchwork of executive orders and FTC enforcement leaves most people unprotected. Here's exactly where every major jurisdiction stands, and what it means for you.
| Jurisdiction | Framework | Status | Ethics requirements | Enforcement |
|---|---|---|---|---|
| European Union | EU AI Act (2024) | Active | Transparency, human oversight, bias testing, right to explanation — mandatory for high-risk AI | €30M or 6% global revenue (max) |
| United States | EO 14179 (2025) + FTC §5 | Active (soft) | Biden's EO 14110 (safety mandates) revoked Jan 2025. Trump's EO 14179 removes AI restrictions — no mandatory ethics requirements. FTC applies existing consumer protection law. | FTC deceptive practices fines (civil) |
| United Kingdom | AI Security Institute + Pro-Innovation Approach | Active | Voluntary principles; AI Security Institute (renamed from AI Safety Institute, Feb 2025) evaluates frontier models. Sector-specific rules via ICO, FCA, Ofcom. | Sector regulators (ICO, FCA, Ofcom) |
| Canada | Directive on AI + AIDA (Bill C-27 lapsed) | Pending | Bill C-27 (AIDA) lapsed when parliament was prorogued Jan 2025 — would have required explainability and human oversight for high-impact AI. New government may reintroduce. | CAD $25M or 3% global revenue (proposed) |
| China | Generative AI Regulations (2023) | Active | Content labelling, no illegal discrimination, CCP-aligned "socialist core values" | MIIT enforcement; license required |
| OECD | OECD AI Principles (2019, updated 2024) | Active (voluntary) | Inclusive growth, human-centered values, transparency, robustness, accountability | None — peer pressure and domestic adoption |
| UNESCO | Recommendation on AI Ethics (2021) | Active (voluntary) | Human rights framing, environmental responsibility, gender equality, data governance | None — member state reporting |
| G7 / Hiroshima AI Process | Hiroshima AI Process Code of Conduct (2023) | Active (voluntary) | 11 guiding principles: transparency, identify AI-generated content, report incidents | None — voluntary industry commitments |
"Every major AI company has published AI ethics principles. Most are non-binding, unverifiable, and written by the same organizations they're supposed to constrain. That's not ethics — that's marketing."
— Wzdom Research · AI Ethics Index Q2 2026
EU AI Act
EU AI Act — the 4-tier risk model
The EU AI Act classifies AI systems by risk level. The higher the risk, the stricter the requirements. Most consumer AI tools fall in the Limited or Minimal tiers. AI used in hiring, credit, medical diagnosis, or law enforcement is High-risk and subject to mandatory conformity assessment, logging, and human oversight.
Unacceptable Risk
Banned outright in the EU.
- Real-time biometric surveillance
- Social credit scoring
- Subliminal manipulation
- AI that exploits vulnerable groups
High Risk
Mandatory conformity assessment, logging, human oversight.
- AI in hiring/recruitment
- Credit scoring
- Medical device AI
- Law enforcement AI
- Education admissions
Limited Risk
Transparency obligations only — must tell users they're talking to AI.
- Chatbots & AI assistants
- Deepfake content
- AI-generated text disclosure
Minimal Risk
No mandatory requirements. Voluntary codes of conduct encouraged.
- AI-powered spam filters
- Recommendation systems
- AI in video games
Company commitments
How AI companies' ethics commitments actually measure up
Every major AI company has published AI ethics principles. We read them all. Most are non-binding, unverifiable, and written by the same organizations they're supposed to constrain. The most common tell: a company's ethics page is updated more frequently than its safety incident disclosures. Below is an honest assessment of where commitments appear genuine — and where the gap between stated values and actual practice is widest.
- + Constitutional AI — embedded ethical constraints in training
- + Responsible Scaling Policy with explicit capability thresholds
- + Published safety research — unusually transparent for a lab
- ~ Safety Board dissolved and reconstituted under pressure (2024)
- + Red-teaming published pre-launch for GPT-4
- + Usage policy prohibits weapons, CSAM, deception
- − Safety team resignations raised governance concerns (2024)
- − Mission drift: "for humanity" vs commercial pressure
- + Published "Responsible AI practices" with concrete guidelines
- + PAIR (People + AI Research) team does public-facing work
- − Fired Ethical AI team leaders in 2020 amid controversy
- − AI in military contracting raised ethics team objections
- + Responsible AI Standard — one of most detailed published
- + Office of Responsible AI with executive accountability
- − Recall (Windows AI screenshot feature) bypassed ethics review
- ~ Large military AI contracts with limited public disclosure
- + Open-weights Llama releases support external safety research
- − Systemic algorithmic harm documented (Frances Haugen, 2021)
- − No independent AI ethics board with real authority
- − EU blocked Meta AI rollout over privacy concerns (2024)
- + Open-weight Grok model releases
- − No published ethics framework or safety report
- − CEO public statements undermine AI safety field
- − EU Privacy regulator investigation active (2024)
- + Open-weight models enable independent safety review
- + EU-based — subject to AI Act from day one
- + No advertising revenue eliminates key misalignment
- ~ Smaller team limits dedicated ethics research capacity
- + Open-weight models release for research
- − China jurisdiction — mandatory CCP content controls
- − No independent ethics board or published safety framework
- − Data handling opaque; US ban discussions ongoing
Research methodology
How we evaluate AI ethics commitments
Every company assessment, regulation summary, and stance rating in this guide is based on independently verifiable sources. We do not accept briefings from AI companies as the basis for positive ratings — everything must be externally confirmable.
- ✓Publicly available privacy policies, terms of service, and ethics frameworks — as published by the companies themselves
- ✓Regulatory filings, enforcement actions, and official guidance from EU DPAs, the FTC, ICO, and other authorities
- ✓Academic research, peer-reviewed analysis, and independent audit findings
- ✓Documented incidents — safety team resignations, whistleblower reports, regulator investigations — with original source links
- ✓Verified updates — company stances are reviewed on a rolling basis as policies change, new incidents emerge, or regulatory status shifts
Findings may be cited with attribution to Wzdom Research. Each entry in the developments feed includes a primary source link. We do not take advertising from or accept payment from any company reviewed in this guide.
Privacy in the Age of Frontier AI: a scored analysis of 12 AI tools across six privacy dimensions, with regulatory timeline, scoring rubric, and primary citations.
Recent developments
AI ethics developments — 2026
The AI ethics landscape moves fast. These are the most significant developments from the last few months, tracked by Wzdom Research.
What you can do
How to hold AI companies accountable
Voluntary ethics principles are worth very little without enforcement mechanisms. Here's what actually moves companies — and what you, as an individual or researcher, can do to add meaningful pressure.
File regulatory complaints
GDPR violations can be reported to your national Data Protection Authority (DPA). In the US, file FTC complaints at ftc.gov/complaint. Both have real investigative power — noyb.eu has forced €billions in fines using exactly this mechanism.
Exercise data rights
Under GDPR / CCPA: request what data a company holds about you, request deletion, and opt out of automated decision-making. Most AI companies have a "Privacy Center" with these forms. Companies have 30 days to respond legally.
Engage in consultation processes
The EU AI Act's implementing regulations are still being written. The FTC regularly takes public comment. Contact your elected representatives about AI regulation. Policy windows are open right now — this is when influence is highest.
Amplify independent research
The AI ethics researchers who created real change — Timnit Gebru, Joy Buolamwini, Shoshana Zuboff — did it by producing rigorous public research that journalists and regulators could not ignore. Independent audits carry far more weight than company self-reports.
Vote with your subscription
If a company's ethics practices are unacceptable, cancel the subscription. Enterprise procurement teams switching vendors over ethics concerns creates far stronger incentives than almost any single regulatory action.
Support independent AI safety labs
Organizations like the AI Security Institute (UK, formerly AI Safety Institute), METR (Model Evaluation and Threat Research), and ARC Evals do the independent evaluations that company red-teams cannot. Their findings drive regulatory action.
Privacy & ethics
Why AI ethics and AI privacy are inseparable
Privacy and ethics are not separate issues. Every AI ethics failure has a privacy dimension. Discriminatory AI requires personal data to discriminate with. Manipulative AI requires behavioral data to manipulate with. Mass surveillance AI is by definition a privacy violation. The fight for AI accountability begins with controlling what data AI systems can access about you.
Bias requires data
AI bias in hiring, credit, and healthcare is only possible because these systems were trained on, and continue to process, enormous amounts of personal data without adequate safeguards.
Manipulation requires profiles
AI systems optimized for engagement — recommenders, social media, personalised advertising — require detailed personal profiles to work. The manipulation is built into the business model.
Data minimisation = harm reduction
If an AI system cannot access your personal data, it cannot discriminate against you, manipulate you, or expose you in a breach. The best AI ethics intervention is often the simplest: collect less.
Understand the law.
Then monitor reality.
AI regulation defines what companies should do. Wzdom Privacy shows what they're actually doing — every connection your apps make, classified in plain English, in real time. On your device. Nothing leaves it.
Wzdom Privacy
You know the laws.
Now see the reality.
AI regulation tells companies what they should do. Wzdom Privacy shows you what they're actually doing — every connection your apps make, in plain English, in real time.
macOS & Windows · Free during beta · No account needed