Some common problems about AI in PPEL
Manipulation and disinformation at scale
AI can generate hyper-realistic deepfakes, synthetic media, and personalized propaganda that spreads faster than fact-checkers can respond, eroding trust in elections, institutions, and public discourse.
Surveillance authoritarianism
AI-powered mass surveillance ,e.g. facial recognition, social-credit scoring, predictive policing, gives governments unprecedented tools to suppress dissent or preempt “threats.”
Central-planning temptation
Governments may use superhuman economic forecasting and optimization tools to micromanage economies, risking the knowledge problems (Hayek) that doomed 20th-century central planning—only now at lightspeed and with vastly more data.
Liability black hole
When an AI causes harm, who is liable—the user, the developer, the training data providers, or “the AI itself”? Current doctrines (product liability, negligence, agency law) break down.
Contractual absurdity
AI agents negotiating and executing contracts at machine speed raise questions about consent, meeting of the minds, and whether a contract even exists when no human ever reviewed it.
Rest assured, Nur will not violate the religious issues of the current country
