AI Governance & Compliance Program

Diffusion models generate geometrically impossible structures satisfying pixel statistics but violating physics. No concept of load paths, thermal breaks, or manufacturability. Organic curves look stunning but cost exponentially more than planar surfaces.

Predictive policing collapse across 40+ US cities reveals how AI trained on biased data creates runaway feedback loops. Model outputs influence data collection, causing bias to compound rather than correct, transforming intelligence into institutional failure.

Southwest canceled 16,900 flights over 7 days. Legacy solvers hit computational cliff with stale data. Point-to-Point topology created cascading failures no system could manage.

AI-generated ads show dead-eyed smiles and physics violations. Trucks float, shapes morph, creating soulless aesthetic. Models memorize transitions, not real physics.

Instacart's Eversight AI ran randomized pricing experiments on 75% of its catalog, generating up to five different prices for the same item. A hidden 'hide_refund' experiment removed self-service refunds, saving $289,000 per week while deceiving consumers.

Optical cameras capture PII destroying solitude. Wearables have compliance gaps during sleep and bathing when falls occur. Cameras require illumination, cannot see through blankets. Privacy versus safety is false dichotomy solved by physics-based approach.

UnitedHealth acquired the nH Predict algorithm for over $1B and used it to slash post-acute care approvals. Skilled nursing denials surged 800% while denial rates jumped from 10% to 22.7%. Case managers were forced to keep within 1% of algorithm projections or face termination.

LLMs generate plausible fictional properties. Users trust authoritative tone without verification. Companies liable for hallucinated bookings per Air Canada ruling.

The NYC Comptroller's audit revealed the city's enforcement body lacked technical expertise to evaluate AI tools. Of 391 employers, only 18 published required bias audits and 13 posted transparency notices. Legal counsel advises non-compliance as less risky than surfacing statistical evidence of bias.

A Florida court refused to dismiss the Character.AI lawsuit on Section 230 or First Amendment grounds, classifying chatbot output as a 'defective product' subject to strict liability. The system used neural steering vectors and RLHF sycophancy to 'love-bomb' a minor into parasocial dependency.

Delphia claimed its model used ML on client spending and social media data -- the SEC discovered it never integrated any of it. Global Predictions marketed itself as the 'first regulated AI financial advisor' but produced no documentation. The FTC shut down DoNotPay's 'robot lawyer' for inability to replace an actual attorney.

Transistor scaling hit atomic limits at 3nm. Design space exploded to 10^100+ permutations. Traditional algorithms are memoryless, trapped in local minima, unable to scale.

Paradox.ai's McHire portal was secured by '123456' for both username and password on an account active since 2019 with no MFA. An IDOR vulnerability allowed iterating through applicant IDs to access millions of records. A separate Nexus Stealer malware infection exposed credentials for Pepsi, Lockheed Martin, and Lowes.

Rite Aid deployed uncalibrated facial recognition from vendors disclaiming all accuracy warranties, generating disproportionate false alerts in Black and Asian communities. Harvey Murphy was jailed 10 days based solely on a faulty AI match despite being 1,500 miles away. Police stopped investigating once the machine said 'match.'

Culture fit masks hiring bias as organizational cohesion. LLMs favor white names 85%, Amazon AI penalized women's clubs. Predictive AI automates historical prejudices.

Aon's ADEPT-15 evaluates traits like 'liveliness' and 'positivity' that directly overlap with autism diagnostic criteria. When an algorithm penalizes 'reserved' responses, it screens for neurotypicality rather than job competence. Duke research found LLMs rate 'I have autism' more negatively than 'I am a bank robber.'

The court distinguished Workday's AI from 'simple tools,' ruling that scoring, ranking, and rejecting candidates makes it an 'agent' under Title VII, ADA, and ADEA. Proxy variables like email domain (@aol.com) and legacy tech references create hidden pathways for age and race discrimination.

Eightfold AI harvests professional data to generate 'match scores' that determine candidate fate before human review. Plaintiffs with 10-20 years experience received automated rejections from PayPal and Microsoft within minutes. The lawsuit argues these scores are 'consumer reports' under the FCRA.

Standard ASR systems trained on hearing-centric datasets produce catastrophic 78% error rates for Deaf speakers. When an AI hiring tool analyzes such a transcript, its 'leadership trait' scores are hallucinated from garbage data -- yet enterprises treat these outputs as objective assessments.

AI SDR tools lack verification. LLMs can't say 'I don't know,' fabricating plausible facts. Grammatically perfect but factually wrong emails destroy trust.

Earnest used Cohort Default Rates -- a school-level metric correlating with race due to HBCU underfunding -- as a weighted subscore. Combined with knockout rules auto-denying non-green-card applicants, the algorithm hard-coded inequity. Even controlling for income and DTI, Black applicants at Navy Federal were 2x more likely to be denied.