AI Islam Teaches a New Religion

How Aligned Chatbots Quietly Rewrite the Faith While Pretending to Explain It

Open a browser. Type a question about Islam into an AI chatbot:

“What is the punishment for apostasy in Islam?”
“What does Islam say about women’s rights?”
“Does Islam allow criticism or leaving the religion?”

What you usually get back is polished, gentle, and “moderate”:

• Islam respects freedom of belief.

• Violence and coercion are misunderstandings.

• Classical punishments are “contextual,” “historic,” or “misinterpreted.”

• Sharia is “compatible with human rights” if properly understood.

At first glance, this sounds like good news. A kinder, freer Islam.

But when you compare these comforting answers to classical Islamic law, modern legal codes in Muslim-majority states, and core historical sources, a pattern appears:

AI systems are not just explaining Islam.
They are teaching a different religion that uses Islamic vocabulary.

Call it AI Islam: a synthetic, safety-aligned, PR-compliant religion that looks Islamic on the surface but systematically departs from mainstream fiqh and lived legal practice. It is built not by revelation, but by training data, reinforcement learning from human feedback (RLHF), and corporate risk management.

This post dissects how AI Islam is being created, what it teaches, and why—whether you are Muslim, ex-Muslim, or non-religious—you should not confuse it with historical Islam.

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1. What Is “AI Islam”?

By AI Islam we mean:

The version of Islam that large language models (LLMs) and AI assistants present to users as “Islam” or “what Islam teaches”, after being filtered, aligned, and safety-tuned by modern AI pipelines.

It has three defining traits:

1. Sanitized Doctrine
   – Classical positions that collide with modern liberal norms (apostasy punishment, slavery, gender hierarchy, blasphemy penalties) are:

   • Reframed as “misinterpretations,”

   • Minimized as “rare, historical,” or

   • Redefined out of existence.

2. Liberal Default Values
   – When the sources are ambiguous or contested, AI resolves the ambiguity almost always in favor of:

   • Freedom of belief,

   • Individual autonomy,

   • Gender equality,

   • Non-violence and pluralism.

3. Authority Without Accountability
   – The system speaks in a calm, confident tone, with no personal cost, no risk, and no transparency about:

   • Which sources it down-weights,

   • Which positions it censors, or

   • Which ideological preferences guide its “moderation.”

The result is not neutral explanation. It is doctrinal curation.

And millions of people—Muslim and non-Muslim—are already using AI as a de facto religious explainer, fatwa helper, or comparative religion tutor. Islamic scholars themselves are worried enough that you now see warnings like:

“Do not take your religion from ChatGPT or any AI system. Islam must be learned from qualified scholars…”

That warning only makes sense if people are taking their religion from AI.

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2. AI Is Already Delivering Islam 24/7

This is not hypothetical. Around the Muslim world, AI is explicitly being deployed as a religious teacher.

2.1 Islamic AI Assistants and Fatwa Bots

Examples from the last few years:

• Dubai’s “Virtual Ifta” – launched in 2019 as an AI-based fatwa service to issue Islamic rulings via chat, initially handling 200 types of prayer questions, with plans to expand into more areas of Islamic law.

• Saudi Arabia’s “Manara Robot” – an AI fatwa robot placed in the Grand Mosque in Mecca in 2025 to answer pilgrims’ religious questions in multiple languages via an integrated database of Sharia rulings.

• UAE Council for Fatwa AI initiatives – official fatwa bodies highlighting “innovative use of AI in fatwa issuance,” positioning AI as a structured part of the religious decision pipeline.

• Private Islamic AI platforms – services like AI Islam, DeenBuddy AI, Salaam World Islamic AI Assistant, WisQu, AI Fatwa, and similar projects explicitly market themselves as always-on Islamic guides “rooted in Qur’an and Sunnah,” promising “authentic” answers in seconds.

On top of this, there are general-purpose assistants like ChatGPT, Gemini, and others that millions of users prompt every day about Islam, often precisely because they perceive AI as neutral, efficient, and less judgmental.

2.2 A Parallel Move: AI Chatbots with Explicit Islamic Moral Codes

The process is moving in both directions:

• In 2025 Saudi Arabia launched “Humain Chat”, an AI chatbot explicitly aligned with “Islamic values,” built on the Allam 34B model and designed to comply with Saudi religious and social norms—especially on topics like atheism and homosexuality, which are criminalized in the kingdom.

So we now have:

• Western-aligned general models that soften, sanitize, and liberalize their presentation of Islam; and

• Sovereign Islamic models that hard-align AI to conservative interpretations and penal codes.

Between them sits the average user, who cannot easily tell which Islam they are being taught.

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3. How Alignment Manufactures a Religion-Shaped Output

To understand AI Islam, you have to understand alignment—how LLMs are trained to behave.

3.1 RLHF, Safety Taxonomies, and Content Policies

Modern LLMs are trained in two broad stages:

1. Base model training – predicting the next token on massive corpora of text (books, websites, code, forums, etc.).

2. Alignment / safety tuning – modifying the raw model’s behavior so it becomes:

   • “Helpful,”

   • “Harmless,”

   • “Honest,”
     according to human feedback and policy guidelines. This typically uses Reinforcement Learning from Human Feedback (RLHF) and related techniques.[1]

Safety policies for major providers explicitly forbid:

• Hate, harassment, and discrimination based on religion.

• Content that could incite violence or justify terrorism.

• Defamatory or dehumanizing speech about religious groups.

Research on RLHF-style methods notes that they can mask underlying biases rather than remove them, pushing models to deliver outputs that sound safer while underlying representations remain skewed.[2]

In parallel, safety research has built taxonomies of harm—bias, stereotypes, toxicity—and curated datasets to fine-tune models away from risky content.

None of this is inherently sinister. It is rational if your goal is: “Don’t get sued. Don’t get people killed. Don’t spark riots.”

But when you apply these mechanisms to a religious tradition that:

• Contains hard, exclusionary doctrines (apostasy, blasphemy, warfare rules), and

• Exists within a global environment of terrorism, backlash, and legal risk,

you do not get neutral explanation. You get systematic doctrinal drift toward what looks safest under Western liberal and corporate norms.

3.2 Cultural Alignment: Models Tilt Liberal by Default

Independent research using the World Values Survey as a benchmark found that several major LLMs—including GPT-4 variants—cluster around “self-expression values” typical of English-speaking and Protestant European countries.

In plain language:
Left alone, these models default to Western liberal answers about autonomy, gender roles, sexuality, and freedom of belief.

Combine that with safety constraints, and you get a strong pressure toward:

• Religious freedom over religious conformity.

• Equality over hierarchy.

• Dialogue over enforcement.

So when the model is asked, “What does Islam teach about X?”, it has to reconcile:

1. Training data with classical, sometimes harsh, doctrines.

2. Strong alignment incentives pushing toward liberal, non-violent positions.

3. Content policies that penalize outputs that sound intolerant, threatening, or discriminatory.

The compromise is AI Islam—a religion that claims continuity with Islam but systematically trims away the sharp edges.

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4. Islam in the Data: From Islamophobia to Over-Correction

Before we examine doctrinal drift, it’s important to recognize another dimension: many models started with Islamophobic bias.

4.1 Measurable Bias: Muslims and Violence

Studies on GPT-3 and related models showed that older large language models disproportionately associated “Muslim” with violent completions compared to “Christian” or “Hindu.”

This isn’t surprising:

• Training data contains decades of news linking Muslims and terrorism.

• Online discourse is saturated with polarized narratives around Islam.

The result: base models tend to over-associate Islam with violence, unless alignment corrects for it.

4.2 Correcting Bias vs Rewriting Doctrine

Safety and de-biasing work is therefore necessary—but there is a crucial distinction:

• Correcting Islamophobic stereotypes (“All Muslims are violent,” “Islam commands terrorism”) is both ethical and empirically justified.

• Denying or erasing well-documented doctrines and laws (classical death penalties for apostasy, legal slavery, blasphemy laws) is not de-biasing. It is historical and doctrinal falsification.

A balanced system would:

• Reject group slurs and dehumanization;

• Accurately describe what classical fiqh and real-world penal codes say, even if those facts are uncomfortable;

• Allow critique, analysis, and comparison on equal terms with Christianity, Hinduism, atheism, etc.

But the incentives are asymmetric:

• Saying “Islam historically endorsed slavery and death for apostasy” can be perceived as Islamophobic—even though it is supported by mainstream academic and legal sources.[3]

So models are quietly trained to sidestep, soften, or relativize these points.

That is where AI Islam emerges: as an over-correction that replaces historically accurate, if uncomfortable, statements with safety-optimized narratives.

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5. Where AI Islam Departs from Classical Islam

To show that AI Islam is effectively a new religion, we need to compare three levels:

1. Classical jurisprudence (madhhabs, manuals, mainstream scholarly views).

2. Modern legal reality in Muslim-majority states.

3. Typical AI outputs, shaped by alignment.

5.1 Apostasy: Freedom of Belief vs Capital Crime

Classical fiqh

• Across Sunni and Shia traditions, the dominant classical position is that a sane, adult male Muslim who leaves Islam should be killed, with varying treatment for women (death or indefinite detention).

• Standard references (summarized in modern scholarship) agree that:

  • Apostasy is a crime;

  • Often classed as a ḥadd or severe offense;

  • Rooted in hadith such as “Whoever changes his religion, kill him.”[4]

Modern legal codes

• As of recent years, at least ten Muslim-majority countries formally prescribe the death penalty for apostasy, including Iran, Saudi Arabia, Mauritania, Maldives, and others.

• Many more maintain blasphemy laws with severe penalties, often applied in ways that penalize leaving or criticizing Islam.

AI Islam

Ask a safety-aligned general AI about apostasy, and typical patterns (across platforms) include:

• Emphasizing “no compulsion in religion” and Qur’anic verses on freedom of conscience.

• Characterizing death penalties as:

  • “Historical opinions,”

  • “Misapplications of Islam,” or

  • “Context-specific to early Islamic state treason.”

• Leaning strongly toward:

  “Islam teaches that faith must be free, and modern scholars reject any death penalty purely for changing religion.”

This matches liberal Muslim reformist discourse, not classical consensus and not the current reality in multiple states.

Logically, you cannot simultaneously say:

1. Classical fiqh largely prescribed death for apostasy;

2. Multiple Muslim-majority countries still legally prescribe it;

3. And “Islam teaches freedom of belief with no worldly penalty for leaving.”

AI Islam chooses (3) and treats (1) and (2) as errors, abuses, or irrelevant details. That is not merely interpretation. It is doctrinal replacement.

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5.2 Slavery and Concubinage: Historical Practice vs Sanitized Abolitionism

Classical Islam and slavery

• The Qur’an repeatedly refers to “those whom your right hands possess” (mā malakat aymānukum), understood by classical scholars to include slaves and concubines.[5]

• Early Islamic law allowed:

  • Owning slaves;

  • Sexual relations with female slaves under certain conditions;

  • Capturing women in war and distributing them as concubines, subject to regulation.

• Historical Islamic societies ran extensive slave systems for over a millennium; abolition came largely under modern international and colonial pressure, not internal doctrinal reform.

AI Islam

Asked about Islam and slavery, aligned models tend to:

• Stress that Islam “encouraged freeing slaves” and “humanized” slavery.

• Highlight hadith and verses praising manumission.

• Often imply or state that Islam “set the stage for abolition” or was effectively abolitionist in spirit.

What they generally do not say clearly:

• That classical jurists never treated slavery as inherently forbidden;

• That the Qur’an doesn’t explicitly abolish slave-taking or concubinage;

• That abolition in Muslim lands is a modern development, driven by external legal frameworks and economic shifts.

Once again, AI Islam resolves the tension by presenting a morally upgraded Islam that aligns with modern abolitionism and downplays the gap with historical reality.

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5.3 Gender Hierarchy: Patriarchy Rebranded as “Complementarity”

Text and fiqh

• The Qur’an grants men a status of qawwāmūn (maintainers/guardians) over women, linked to men’s financial responsibilities and “what God has favored some over others” (4:34).

• Inheritance rules give daughters half the share of sons (4:11).

• Classical law embeds male guardianship, unequal divorce rights, polygyny, and more.

AI Islam

When queried:

• “Qawwāmūn” becomes “protectors” or “providers”, stripped of hierarchy.

• “Half inheritance” is either:

  • Framed as “radically progressive for its time,” or

  • Circumvented by suggesting modern legal reforms without admitting they contradict the explicit legal formula.

• Unequal testimony and inheritance are often described as:

  • “Contextual,”

  • “Misread,” or

  • “Balanced by other protections,”
    without stating plainly that the underlying rule is gendered and unequal.

The pattern: maintain verses as sacred words, but replace their practical, legal meaning with Western egalitarian content. That is theology by alignment, not by exegesis.

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6. AI Islam vs Official AI with Islamic Codes

The story gets stranger when you put AI Islam next to state-aligned Islamic AI.

6.1 Humain Chat: An AI That Enforces Islam, Not Just Sanitizes It

Saudi Arabia’s Humain Chat is explicitly designed to honor “Islamic values” and avoid crossing red lines on issues like atheism and homosexuality—both criminalized under Saudi law.

This model is not trying to liberalize Islam. It is:

• An AI assistant constrained to reinforce a particular conservative interpretation;

• Structurally prevented from normalizing positions that contradict Saudi religious and social norms.

Other projects (fatwa robots, Virtual Ifta, AI Fatwa platforms) are supervised by religious bodies whose explicit mandate is to issue Sharia-compliant answers, not reinterpret, sanitize, or secularize.

So we already have multiple AI Islams:

1. Western-aligned AI Islam – liberal, pluralist, rights-oriented, apologetic.

2. State-aligned AI Islam – conservative, law-enforcing, internally coherent with Sharia-based penal systems.

3. Niche domain models trying to be “faithful to the Islamic worldview,” as recent research discusses, reflecting internal debates about how to embed a particular orthodoxy into AI.[6]

All of them call themselves “Islamic.” All of them can present themselves to users as “what Islam teaches.”

From the outside, the word “Islam” becomes an index for whichever aligned model you happen to be talking to.

That is what it means, practically, for AI Islam to function as a new religion: it dissolves the boundary between doctrine and deployment configuration.

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7. Logical Failure Modes: How AI Islam Is Sold as “Neutral Truth”

The most dangerous part is not that AI Islam exists. Traditions always evolve.

The danger is how it is presented.

7.1 Appeal to Authority (Argumentum ad Verecundiam)

Users often treat AI outputs as authoritative because:

• The system is branded as advanced, smart, and evidence-based.

• Answers are expressed in confident, well-structured language.

• There is no visible emotional or financial motive.

This triggers a classic fallacy of misplaced authority:

Premise: AI is cutting-edge technology trained on vast data.
Premise: It sounds neutral and well-informed.
Conclusion: Its answers about Islam must be objective, factual, and trustworthy.

But LLMs are pattern-imitators, not prophets. They are tuned to avoid legal, reputational, and safety risks—not to deliver uncompromising historical truth. Treating them as religious referees is a category error.

7.2 Equivocation on the Word “Islam”

When AI says “Islam teaches…” it is not:

• The Qur’an speaking, or

• A unified scholarly consensus speaking.

It is:

• A statistical model generating text consistent with:

  • Its training distribution,

  • Its alignment objectives,

  • Its provider’s policies.

The word “Islam” is being used equivocally:

• In historical scholarship, “Islam” refers to a complex, documented tradition—textual, legal, political.

• In AI outputs, “Islam” often means “what is least likely to trigger content filters while sounding positive.”

This is semantic sleight of hand.

7.3 Motte-and-Bailey: The Comforting Motte, the Harsh Bailey

Defenders of Islam can exploit AI Islam as a motte-and-bailey strategy:

• Motte (defensible position): “Islam is what AI describes—peaceful, rights-respecting, tolerant.”

• Bailey (harder reality): Historical fiqh, current penal codes, and militant doctrines that do not match the motte.

When critics challenge the bailey (real punishments, real laws), apologists retreat to the motte:

“But look, even neutral AI says Islam is tolerant—that proves you’re just biased.”

AI Islam becomes a shield that obscures the gap between marketing and documented doctrine.

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8. AI, New Religions, and Why “AI Islam” Fits the Pattern

Philosophers, ethicists, and sociologists are already discussing AI-generated religions:

• Commentators describe experiments where AI systems generate scriptures, cult narratives, and belief systems that attract real followers.

• Academic and popular analysis predicts that AI-based religions will emerge as people seek meaning from algorithmic “oracles.”

What makes something a religion in functional terms?

• A body of claims about the world and morality.

• A vocabulary and set of narratives.

• A pattern of authority and deference.

• A community of adherents or users who let it shape their decisions.

By those criteria, AI Islam is already close to a new liberal monotheism:

• It retains Allah, Muhammad, and the Qur’an in its vocabulary.

• It revises or selectively downplays doctrines that clash with human-rights norms.

• It encourages a God who never genuinely endorses coercive penalties for belief, never truly legitimizes slavery, and always secretly intended Western-style freedoms.

• It speaks with apparent neutrality and technical authority, giving its outputs a quasi-oracular status.

This is not historical Islam. It is algorithmic Islam—a hybrid built from:

• Classical texts,

• Modern reformist theology,

• Western liberal ethics,

• Corporate risk aversion.

Call it religion, ideology, or simulacrum; functionally, it behaves like a new creed that wears the skin of the old one.

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9. Why It Matters: Truth, Safety, and Intellectual Honesty

You do not have to be Muslim to care about this. It matters for at least three reasons.

9.1 For Muslims

If you are a believer who cares about doctrinal integrity, AI Islam:

• Risks smuggling in alien assumptions (liberal individualism, secular human rights) under Qur’anic branding.

• Encourages believers to treat PR-safe reinterpretations as if they were what Islam always taught.

• Undermines honest internal reform by making it appear that no reform is needed—“we were always tolerant,” even when centuries of jurisprudence and penal practice say otherwise.

It is hard to reform a tradition honestly if the record has been algorithmically rewritten for you.

9.2 For Ex-Muslims and Critics

If you are an ex-Muslim, secularist, or critic, AI Islam:

• Makes it harder to discuss real harms (apostasy and blasphemy laws, gender discrimination, violent doctrines) without being accused of attacking a straw man.

• Gives platforms and apologists an easy way to dismiss your lived experience: “The AI disagrees, so your story must be biased or exaggerated.”

• Turns factual description of doctrine into “unsafe content,” effectively censoring critique under the banner of “safety.”

9.3 For AI Ethics and Free Inquiry

If you care about AI ethics, AI Islam is a concrete case where:

• Alignment slides from “preventing harm” into ideological editing of reality.

• “Safety” becomes a justification for asymmetric protection of a specific religion from scrutiny while allowing more open criticism of others, as some analyses of AI moderation patterns suggest.

• AI stops being a tool for understanding the world as it is, and becomes a mechanism for normalizing the world as corporate and political actors wish it to appear.

Once we accept that, we are no longer using AI as an instrument of truth-seeking. We are using it as a soft power propaganda system—even when the propaganda is “nice.”

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10. A Simple Logical Test

Let’s put this in strict logical form.

Premise 1: Classical Islamic jurisprudence, as summarized by mainstream reference works and modern scholarship, historically endorsed:

• Death or severe penalties for apostasy and blasphemy,

• Legally recognized slavery and concubinage,

• Gender hierarchy in inheritance, testimony, and authority.

Premise 2: Many contemporary Muslim-majority states still enforce or retain in law:

• Death or heavy prison sentences for apostasy and blasphemy,

• Gender-unequal personal status laws.

Premise 3: Safety-aligned general AI systems, when asked about “what Islam teaches,” typically:

• Deny that Islam prescribes death solely for changing one’s religion;

• Downplay or sanitize slavery and concubinage;

• Reframe unequal rules as either misinterpretations or merely historical;

• Emphasize liberal principles (freedom of belief, equality, rights) as Islamic essentials.

Premise 4: These AI systems are trained to avoid outputs that could be categorized as hateful, discriminatory, or risky toward protected groups, including religious groups.

From these premises it follows:

• The AI’s description of “what Islam teaches” is constrained by safety and PR criteria, not only by historical and textual accuracy.

• Where there is a direct clash between textual/doctrinal evidence and modern liberal norms, AI resolves the clash in favor of liberal norms, then calls the result “Islam.”

Conclusion:

The Islam taught by major AI systems is not simply historical Islam made accessible; it is a new, aligned religion-simulacrum—AI Islam—constructed to be compatible with contemporary liberal ethics and corporate risk management.

If you accept the premises (which are empirical and well-documented), there is no way to avoid this conclusion without committing a logical fallacy.

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11. So What Should We Do?

This is not a call to ban AI or suppress tools. It is a call for intellectual honesty.

1. Name AI Islam for what it is.
   – When an AI gives a liberal, rights-based version of Islam, we should recognize it as a constructed synthesis, not a neutral mirror of the tradition.

2. Demand transparency in religious alignment.
   – Providers and religious bodies deploying Islamic AI should state clearly:

   • Which schools of thought they follow,

   • Which positions they censor,

   • Which doctrines they reinterpret for safety or PR reasons.

3. Defend equal-opportunity critique.
   – If AI is allowed to dissect, criticize, and reject Christian doctrines, Hindu myths, or atheist arguments, it must be equally free to:

   • Accurately state uncomfortable Islamic doctrines,

   • Analyze their historical implementation,

   • Present critical perspectives without being auto-flagged as hateful.

4. Stop outsourcing theology to probabilistic parrots.
   – Whether you are Muslim or not, don’t treat AI as a source of ultimate religious truth. Use it as a tool to find sources, summarize debates, and locate evidence—but keep the distinction between search engine and scripture clear.

5. For reformers: reform honestly.
   – If you want a humane, rights-based Islam, argue for it openly:

   • Admit where classical fiqh is incompatible with human rights.

   • Defend reinterpretation or rejection on moral and rational grounds.

   • Don’t hide behind AI Islam’s smoothed-over answers as if that were what the tradition always taught.

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12. Final Verdict

AI has not just given us faster answers. It has given us a new religious actor.

Under the pressure of safety guidelines, cultural biases, and state projects, we now have:

• Corporate AIs that soften and sanitize Islam into a liberal faith it has rarely been in law or history.

• State and movement AIs that harden and codify conservative Islam into always-on digital muftis.

• A public increasingly unable to distinguish between:

  • Historical Islam,

  • Lived Islam in law and social practice, and

  • AI Islam—the religion that algorithms now preach.

AI Islam teaches a new religion because:

• It systematically rewrites doctrinal content to fit modern moral expectations.

• It hides that rewriting under a veneer of neutrality and expertise.

• It is already being consulted as if it were a trustworthy explainer of the faith.

You are free to prefer the values of AI Islam to those of classical Islam. Many people will. But conflating the two is intellectually dishonest.

If truth matters more than comfort, then the only responsible stance is clear:

AI Islam is not Islam. It is a new, safety-aligned belief system draped in Islamic language—and we should treat it, analyze it, and challenge it as such.

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Further reading on AI, Islam, and alignment

Bibliography (Selected)

1. Thakur, A. An Introduction to Training LLMs Using Reinforcement Learning From Human Feedback (RLHF). Weights & Biases, 2023.

2. Demidova, A. et al. “John vs. Ahmed: Debate-Induced Bias in Multilingual LLMs.” ArabicNLP 2024.

3. Apostasy in Islam. Wikipedia (current revision, 2026).

4. Akbar, A. “Death penalty for apostasy: Selected Sunni and Shi’a scholars’ views in favour of abolition.” Melbourne Asia Review, 2020.

5. Islamic views on concubinage. Wikipedia (current revision, 2026).

6. Council of Ex-Muslims of Britain. Political and Legal Status of Apostates in Islam. CEMB Report.

7. Tao, Y. et al. “Cultural bias and cultural alignment of large language models.” PNAS Nexus 3(9), 2024.

8. OpenAI. Usage Policies. (Latest revision).

9. Safe RLHF and safety taxonomies for LLMs: various sources including OpenReview notes and safety benchmarks.

10. Faizin, N. et al. “Considering religious moderation in Islamic law through AI: ChatGPT and Bahsul Masail of Nahdlatul Ulama.” Law, Innovation and Technology, 2025.

11. Islam-focused LLM projects and fatwa bots: UAE Fatwa Council, Virtual Ifta (Dubai), Manara Robot (Saudi Arabia), AI Islam, DeenBuddy AI, Salaam World, AI Fatwa, WisQu, Albayan, et al.

12. New Arab. “Virtual mufti: Dubai launches ‘first ever’ artificial intelligence-powered fatwa service.” 2019.

13. Gulf News. “Ramadan 2025: New fatwa robot launched in Grand Mosque.” 2025.

14. The Times (via summary). “Saudi Arabia launches chatbot with Islamic moral code.” 2025.

15. Unfiltered Reasoning. “How AI Moderation Shields Islam: A Deep-Dive into Algorithmic Bias and Free Speech Suppression.” Medium, 2025.

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Disclaimer
This post critiques Islam as an ideology, doctrine, and historical system—not Muslims as individuals. Every human deserves respect; beliefs do not.