Good Morning World!🌅☀️🌍🌻🍄🌷🐥🐣🦋💧🍀🕊🌷❤️ 🪻🌱🌱

Citizens are forced to meticulously separate organic waste, plastic, paper, and general waste into four different containers – failure to comply with the regulations can result in fines. Then, a garbage truck arrives and puts everything into a single container

Ecuatorial Depredador (Pt. I): Epstein Class Traffics in Ecuador, Offshore Info Wars, Port Mafia, BanaNarcos, & the Whistleblowers https://parapowermapper.substack.com/p/ecuatorial-depredador-pt-i-epstein

In a new court filing, Sam Altman’s sister admits she suffers from PTSD “as a direct and proximate result of Sam Altman sexually abusing her as a child.”

This is the same guy asking you to trust him with super intelligence. https://x.com/KatieMiller/status/2087529691951366321

10 years ago today I posted this - Philip Cairns: ‘A ring of people have protected this case’ Irish Times 13 Aug 2016 https://cathyfox.wordpress.com/2016/08/17/irish-times-philip-cairns-a-ring-of-people-have-protected-this-case-13-aug-2016/

Renewable energy tycoon caught with indecent images of children after asking computer shop to wipe his hard drives - but staff member was a police special constable https://www.dailymail.com/news/article-16060479/Energy-tycoon-child-porn-computer-shop-wipe-hard-drives.html

Ten years ago today, 25 Aug 2016 I posted this, released under FOI.
Inspection Report on Frontier House Children's Home, Kent run by John Persich https://cathyfox.wordpress.com/2016/08/25/inspection-report-on-frontier-house-childrens-home-kent-run-by-john-persich/

Google:

LinkedIn AI testing and automated social credit scoring intersect where advanced machine learning algorithms parse online professional behavior to evaluate user trust, creditworthiness, and job fit. While western democratic frameworks actively block a government-mandated "social credit score," private AI systems use LinkedIn data to generate highly influential proxy scores for hiring and alternative lending.🔎 1. The LinkedIn AI "Social Credit Score": The SSILinkedIn does not feature a traditional civic social credit score, but it enforces a proprietary, hidden-in-plain-sight metric called the Social Selling Index (SSI). This acts as a functional professional credit score determining how the platform's AI trusts and limits an account.The Scoring System: Evaluated on a 0–100 scale, updating daily across four core pillars: professional branding, network expansion, insights engagement, and relationship building.The Trust Ceiling: Accounts scoring below 40 are systematically flagged by LinkedIn's security AI as high-risk spam bots. They face heavy algorithmic penalties, capping weekly connection invitations between 20 and 50.Power Privileges: Accounts scoring above 70 are whitelisted as highly trusted platform contributors. The AI expands their systemic leverage, granting them the ability to send 150–200 connection requests per week without triggering security lockouts.📊 2. Algorithmic Hiring & Secret "Job Fit" ScoresA major nexus of social credit scoring occurs through third-party AI recruitment platforms that ingest public LinkedIn profiles to build clandestine dossiers on job applicants.The Secret Score: Corporate AI tools evaluate a candidate's full digital footprint (including LinkedIn network nodes, posts, and public activity) to issue a "suitability rank". Low-scoring applications are automatically discarded before a human recruiter ever sees them.The Legal Backlash: High-profile class-action lawsuits target hiring vendors like Eightfold AI and Workday over these secret scores. Regulators like the Consumer Financial Protection Bureau (CFPB) warn that these algorithmic dossiers constitute consumer profiles under the Fair Credit Reporting Act (FCRA), legally requiring transparency, candidate consent, and dispute mechanisms.Systemic Bias Limits: Large-scale studies by institutions like the Stanford Institute for Human-Centered AI show that these hiring tools propagate systemic market rejection. When candidate scoring relies heavily on social connections and digital behavior patterns, the AI inadvertently introduces proxies for race, age, and disability.💡 3. AI-Driven Alternative Credit UnderwritingIn financial services, fintech companies and academic researchers are testing Alternative Data Credit Scoring models that plug directly into a consumer's LinkedIn profile to determine loan eligibility.The Profile Audit: AI agents extract professional longevity, employment consistency, and high-value industry connections from a user's LinkedIn profile.The Inclusive Aim: This "behavioral profile" serves as a financial inclusion mechanism to score "thin-file" or unbanked individuals who lack a traditional FICO credit history but maintain a highly responsible, stable professional digital footprint.The High-Risk Compliance Guardrail: Because these systems look dangerously close to social credit matrices, regulatory frameworks like the European Union's AI Act explicitly designate AI credit scoring and AI hiring engines as "High-Risk" technology. This forces developers to undergo rigorous, ongoing bias testing, risk mitigation tracking, and human-in-the-loop oversight before deployment.If you want to optimize your professional footprint, I can help you look up your specific LinkedIn SSI dashboard link or map out which elements of your profile to edit to pass automated candidate screens. Alternatively, we can look up the latest compliance changes to the EU AI Act. What would you like to explore next?