For Muslims

Deepfakes and AI fakes: what a Muslim needs to know

AI can already generate realistic photos, videos and audio. Many Muslims come across clips that provoke anger or fear. Without verification, such content may lead to sin and harm to people. The Islamic Code for the Application of AI reminds that preserving reason and protecting people’s honor remain a priority. Therefore, any AI-generated content requires […]

AI News • Shariah Lens

Russia launches IT workforce training (Top‑IT) in 26 universities and advanced AI training (Top‑AI) in 22 universities

The updated state agenda on IT and artificial intelligence personnel is expanding. At the start of the academic year, it was announced that in‑depth IT training programs have started in 26 Russian universities, and advanced AI training is running in 22 universities. This raises the quality bar and accelerates the adoption of responsible AI practices.

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Code Commentary

Free Will and Personal Responsibility: Clause 2.1.3 of the Islamic AI Code

Artificial intelligence influences human choices. Final responsibility for decisions remains with humans. This walkthrough explains how clause 2.1.3 applies in practice. Understanding free will supports trust and safety. Roles for people, teams, and institutions become clear. Users see the boundaries حُدُود (boundaries). Organizations build processes that can be audited. Link to clause 2.1.2 about القَدَرُ

Code Commentary

Predestination without Fatalism: § 2.1.2 in Practice

This clause connects belief in القَدَرُ (al‑qadar, predestination) with personal responsibility. It guards against ٱلْجَبْرِيَّةُ (al‑jabriyya, fatalism) and the excuse that “the machine decided so”. Below is how to apply the norm without losing تَقْوَى (taqwā, God‑consciousness) or common sense. Code Text 2.1.2. Predestination without fatalismDivine predestination is acknowledged, yet human responsibility for choice and

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Cases & Analyses

Air Canada: the chatbot liability case

In February 2024, the Civil Resolution Tribunal of British Columbia (CRT) held that the company bears responsibility for inaccurate information provided by its web chatbot. The ruling has become a touchstone for consumer‑facing AI practices. Benefit for the reader. The case clarifies how human responsibility (مَسْؤُولِيَّةٌ بَشَرِيَّةٌ) and transparency (شَفَافِيَّةٌ) are understood in consumer services

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For Muslims

Can AI Be Trusted in Religious Matters?

AI helps to search for knowledge. Yet religious rulings (أَحْكَامٌ) remain a human responsibility. A large language model — LLM (large language model) can suggest drafts, but it does not replace a mufti or an imam. Under the Code, decision‑making must be left to humans (see 1.4.2; 2.1.3; 2.2.32). AI is useful for lookups and

Code Commentary

Tawḥīd and the Prohibition of “Deifying Technology”: §2.1.1 in Practice

The Code reminds us that the foundation is التَّوْحِيدُ (tawḥīd, monotheism). Technology cannot become an object of veneration. AI is only a tool with clear حُدُودٌ (boundaries). 1) Wording and Scope of Application Item §2.1.1. “Monotheism and a warning against techno-deification.” AI development and operation must rest on strict adherence to the principle of monotheism.

Code Commentary

Islamic AI Code: How to Read and Apply

The Code ensures that AI serves society without crossing the bounds of الشَّرِيعَةُ (Sharia). It clarifies human roles and حُدُودٌ (boundaries) across the entire lifecycle of AI systems. Below is how to understand and apply Section 1 “General Provisions” in practice. 1) What exactly we analyze and where it applies Formulation of the norm (items

AI News • Shariah Lens

Michigan banned intimate deepfakes: compliance with the Islamic AI Code.

On August 26, 2025, the State of Michigan criminalized the creation and distribution of intimate deepfakes—synthetic images/video/audio featuring a real person in a sexual context without consent. The new law is officially titled the Protection from Intimate Deep Fakes Act (HB 4047/4048) and introduces both criminal and civil liability. In simple terms, we explain what

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