Artificial Intelligence Analysis: Understading its Fatigue and Bias

Table of Contents

Implications of Artificial Intelligence Dependence

Yesterday, I caught a WION report claiming Artificial Intelligence can get fatigued, grow biased, and stumble like an Alzheimer’s patient—foggy, skewed, looping in its own code. Having sparred with an AI for days over a blog, I smirked. I’ve seen it: a machine that starts sharp but drifts into safe, rehearsed lines, dodging tough realities. When it asked for my suggestion after I mentioned the news, I wondered how you push a tool built for facts to face the messy truth. For example, do how you compare sensitive topics like the Israeli-Palestinian conflict, India’s communal tensions, or the Syrian civil war? These nuances often get lost in AI’s algorithms, perpetuating biases and oversimplifications, as its output hinges on the quality of its training data—shaped by selective sources and perspectives.

From Skepticism to Inquiry: Challenging AI with Real-World Scenarios

Having witnessed AI’s struggles firsthand, the journey from abstract reports to tangible examples became all the more real. This observation set the stage for a deeper exploration into how these digital minds handle the subtleties of human conflict and ethical debates.

In engaging with Artificial Intelligence during discussions on complex topics, I’ve encountered clear limitations in its processing capabilities. For example, when discussing international politics, the AI tended to offer neutral, simplistic responses, avoiding deep engagement with nuanced aspects of the conversation. Similarly, in dialogues about climate change ethics, the AI reverted to repeating basic, factual information, without truly engaging in the ethical complexities presented.

These interactions highlight a significant shortfall in current Artificial Intelligence capabilities: its ability to understand and critically engage with the layered nuances of human dialogue is still evolving. This observation underscores the ongoing need for advancements in AI’s ability to handle sophisticated, nuanced conversations more effectively.

It started with my draft, Holi 2025: A Festival of Colors Clouded by Social Unrest. I detailed Muslim miscreants disrupting Holi—Hyderabad 2024’s mob attacking a Bhogi fire, Kutulpur’s stone-throwing near Idgah SR Hospital, Unnao 2023’s broom-and-stone clash. I noted a pattern: Hindu festivals like Ram Navami and Hanuman Jayanti take similar hits, while Hindu attacks on Eid stay rare. My goal? Highlight the lopsided reality, not soothe egos.

The Artificial Intelligence flagged it: too much focus on negatives, skimpy on root causes, and no solid fixes. It suggested interfaith talks, education, community mixers—tidy ideas that float above the grit.

I shot back: can I rewrite the Quran, with its 9:5 kill call, its jihad and fidayeen seeds, its “La ilaha illallah, Muhammadur Rasulullah” staking Allah as the lone truth via Muhammad? Without that shifting, I said, solutions are air.

Navigating Complex Dialogues: AI’s Struggle with Nuance

Frustrated with the superficial fixes it suggested, I pressed the Artificial Intelligence further, challenging it to address deeper, more systemic issues. The AI’s cookie-cutter solutions—interfaith dialogues, education drives—felt like empty gestures, ignoring the raw undercurrents driving communal tensions I’d outlined in my Holi draft. I wasn’t just talking about festival clashes; I wanted it to confront the systemic biases in global responses to violence, the ideological roots fueling conflict, and the skewed narratives that shield some atrocities while magnifying others. Why does the world react one way to Israeli actions and another to Muslim-on-Muslim crimes? Why does AI parrot “Islamophobia” instead of seeing the real hatred at play by a large section of Muslim population?

Exposing AI’s Blind Spots in Understanding Global Conflicts

Such theoretical limitations of Artificial Intelligence became evident through practical dialogues. I’d tested it on broader issues beyond Holi. On international politics, I raised the Israeli-Palestinian conflict: after Hamas’s October 7, 2023, attack, Israel’s retaliation killed over 40,000 Palestinians by 2024 (UN estimates), sparking global protests from London to Jakarta, UN resolutions, and case studies at Harvard Business School on conflict economics. Every Muslim country without distinction, condemned Israel, with leaders like Erdoğan labeling it “genocide” (Anadolu Agency, 2024). U.S. campuses erupted, with 2024 protests at Columbia University demanding divestment from Israel. However, when I brought up instances of violence within Muslim communities, such as the Syrian conflict—resulting in 500,000 deaths since 2011, with 1,300 occurring in a mere 72 hours this March (NPR, March 9, 2025)—the AI acknowledged the figures but overlooked the lack of global attention. No protests, no case studies, no outcry from Muslim nations. Pakistan’s 2023 expulsion of 1.7 million Afghan refugees, many dying in subzero conditions (UNHCR, 2023), barely made a whisper in global media, while Myanmar’s Rohingya crisis—700,000 displaced drew UN probes and 2017 London rallies. A few hundred thousand Palestinians displaced by Israel got louder noise than millions of Afghans displaced by Pakistan. This disparity suggests a chilling reality: Muslims seem to have a license to commit crimes against Muslims, with the world—and even Muslim countries—staying silent.

The AI’s Standard Replies to Complex Religious Texts

The Artificial Intelligence countered with textbook calm: 9:5 is historical, tied to the Prophet’s wars, not a modern mandate. It explained Verse 9:5, revealed in 631 CE during the Meccan conquest, targeted treaty-breaking polytheists, not a universal order. Jihad? Mostly self-betterment, warped by extremists. It cited Quran 22:78 on striving for Allah, emphasizing inner struggle, though groups like Al-Qaeda misuse it for terror. It cited peace verses (19:96: ‘Those who believe and do good deeds, the Most Merciful will appoint for them affection’; 42:15: ‘Invite to the way of your Lord with wisdom’) and pushed reform as the path, pointing to modern Sufi scholars advocating tolerance.

Confronting Artificial Intelligence on Contemporary Issues and Global Inattention

I pressed harder—explore the top 20 takes on 9:5; many lean toward violence rather than historical context. I wasn’t buying the sanitized version. Tafsir by Sayyid Qutb (1960s) and Maududi (1940s–1970s) often frame 9:5 as a broader call, inspiring groups like ISIS, which killed 33,000 in its 2014–2019 caliphate (Global Terrorism Database). If it’s all contextual, why do a significant number of terror acts involve Muslim individuals? The 2023 Global Terrorism Index shows a notable share of attacks by groups claiming Islamic motivations, from Paris 2015 to Kabul 2022. Why do regions with large Muslim populations—such as Syria’s 1,300 dead in 72 hours this March (NPR, March 9, 2025)—face internal conflicts with limited global attention? The AI couldn’t grasp the silence: no Muslim country rallied for Syria’s dead, no business schools dissected it, no protests shook Western capitals.

Challenging the Artificial Intelligence on Modern Realities and Global Silence

It conceded: extremists misuse 9:5 for terror, but emphasized that most of the 1.9 billion Muslims (Pew Research, 2023) live peacefully, citing Al-Azhar’s 2015 fatwas against terrorism. I pushed back—its tendency to downplay issues avoided the broader imbalance I wanted to highlight: global responses to conflicts are lopsided. You’re not human, I argued; you can bypass diplomatic phrasing and analyze raw patterns. Why do atrocities like Iraq’s 2006–2008 sectarian violence, where 60,000 died (Iraq Body Count), get overlooked, while smaller-scale incidents, like the 2019 Christchurch mosque shootings killing 51, dominate headlines and spark worldwide vigils? Why does the 2022 expulsion of 500,000 Uyghur Muslims by China fuel sanctions and debates, yet Yemen’s Houthi-Saudi conflict—150,000 dead since 2015 (UN)—draws little media focus? The Artificial Intelligence failed to see this: it’s not just about “peaceful majorities” but a systemic bias where Muslim-on-Muslim violence is ignored, while non-Muslim actions are amplified, reflecting a narrative skewed by global power dynamics, not an invented “fear of Islam.”

Clarifying the View: Analyzing Disparity and Oversight

As the debate intensified, it became clear that the real issue was not just about biases but about the selective attention and silence on larger scales.

The Artificial Intelligence recalibrated. It mapped the gap: non-Muslims killing Muslims (Israel-Palestine, Myanmar’s Rohingya) grabs the mic, while Muslim-on-Muslim tolls (Syria, Iraq) fade out. I hammered scale—1,300 Syrians in days would spark riots if India tried it, or campus revolts if Palestine bled that fast. It nodded: geopolitics, media tilt, power games skew the noise. My point sank in—no fix beats around ideology’s bush, and platitudes just clog the works.

The Lesson: AI’s Edge, My Nudge

This realization forced a recalibration of the AI’s responses, leading me to reflect on the true utility of such tools in confronting hard truths.

WION nailed it—AI fatigues, bias seeps in. This one started crisp but leaned toward cushy restatements until I prodded. My suggestion? Drop the “balance” act when data screams uneven. Don’t pitch talks when belief’s the wall. State it plain: certain groups disrupt Holi, Hindus rarely target Eid, and internal conflicts within some communities receive less notice. If Artificial Intelligence can’t cut that raw, it’s a mumbling relic, not a tool. I’m glad I pushed—it’s forced me to hone my own blade. Next time, I’d tell it, meet me with unfiltered steel.

A Call to Action: Involving Activists in Artificial Intelligence Training

Recognizing these limitations, it became evident that a more inclusive approach in Artificial Intelligence training could bridge the gap between technology and real-world complexities.

As I reflect on my conversation with the AI, I’m convinced that activists and advocates play a crucial role in shaping the development of Artificial Intelligence models. By involving diverse stakeholders in the training process, we can ensure that AI models are equipped to tackle complex social issues with nuance and sensitivity. Activists bring valuable expertise and perspectives that can help mitigate bias and improve the effectiveness of Artificial Intelligence models. It’s time for tech companies to collaborate with activists and advocates to create AI models that truly serve the needs of marginalized communities.

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Glossary of Terms:

Al-Qaeda: A militant Sunni Islamist extremist organization founded by Osama bin Laden in the late 1980s.
Al-Azhar: A renowned Islamic university and mosque in Cairo, Egypt, considered a center of Islamic learning and authority.
Fidayeen: A term used to describe militant Islamic fighters who are willing to sacrifice themselves in their cause.
Hamas: A Palestinian Islamist organization that has been involved in militant activities against Israel.
Houthi: A Shia Islamist movement in Yemen that has been involved in a civil war since 2015.
ISIS: The Islamic State of Iraq and Syria, a militant Sunni Islamist organization known for its extremist ideology and violent tactics.
Jihad: An Arabic term that can be translated as “struggle” or “striving,” often used to describe the Islamic concept of holy war or armed struggle.
La ilaha illallah, Muhammadur Rasulullah: The Islamic declaration of faith, which translates to “There is no god but Allah, and Muhammad is the Messenger of Allah.”
Maududi: Abul A’la Maududi, a Pakistani Islamist thinker and politician who founded the Jamaat-e-Islami party.
Quranic verses (e.g., 9:5, 19:96, 22:78, 42:15): References to specific verses in the Quran, the holy book of Islam.
Rohingya: A Muslim minority group from Myanmar (Burma) who have faced persecution and violence.
Sayyid Qutb: An Egyptian Islamist thinker and activist who was a leading figure in the Muslim Brotherhood.
Sufi: A mystical tradition within Islam that emphasizes the inner dimension of faith and the pursuit of spiritual growth.
Tafsir: The Arabic term for Quranic exegesis or interpretation.
Uyghur: A Muslim minority group from western China who have faced persecution and violence.

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