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What exactly is 'bias' in a Perceptron model?

We know that Prediction is based on Activation function in a Perceptron model. \({\hat y=f(z)}\) \(z=\sum_{i=1}^{n}w_ix_i+b\) \(\hat y\) = Predicted output \({f(z)}\) = Activation function \({w}\) = W

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Phelipe MüllerDec 16, 2025 · 6 min read

Viés de Seleção: O Inimigo Oculto nas suas Pesquisas

Já viu esse meme? Ele brinca com a ideia de que quem responderia "não gosto" é justamente quem ignorou a pesquisa. Essa brincadeira ilustra perfeitamente um dos maiores vilões na análise de dados: o Viés de Seleção. Esse é um risco oculto nas não-res...

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Aeon Flex / Splicer ScornDec 14, 2025 · 6 min read

Algorithmic Patriarchy: How Bias Reproduces Itself Inside Scripting Workflows

There is a lie embedded deep inside modern automation culture. It is rarely stated outright, but it quietly underwrites almost every conversation about code, efficiency, and scale. The lie is simple. Code is neutral.Scripts are objective.Machines do ...

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Quantum Power ShellOct 6, 2025 · 3 min read

AI and Ethics: Can Machines Truly Make Moral Decisions?

For Hashnode’s community of developers and tech enthusiasts, the rise of artificial intelligence (AI) brings both opportunity and responsibility. Inspired by Episode 5 of the Quantum Waves podcast, this article tackles a pressing question: Can machin...

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HarishSep 16, 2025 · 3 min read

Bias Mitigation Strategies for AI Bias Regulation

In 2025 governments across the world are accelerating efforts to regulate bias in artificial intelligence systems as AI technologies become deeply embedded in everyday decision-making. AI Bias Regulation is no longer a concept reserved for ethical de...

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Madhura AnandJul 31, 2025 · 4 min read

From Digital Divide to AI Divide: Lessons from the Internet Era to Build an Equitable AI Future

🌐 Introduction: The Internet’s Unequal Legacy One of the most critical lessons from the global adoption of the internet is the persistent digital divide—a gap largely shaped by income disparities. Data from the Pew Research Center highlights how low...

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Debanjan ChakrabortyJul 20, 2025 · 20 min read

Bias and fairness - a rising issue in modern Artificial Intelligent Systems

Introduction: AI systems nowadays enable us to see, understand and interact with the world in ways that were unimaginable since a decade ago, and these systems are developing in an extraordinary pace yet despite these advancements AI is not infallibl...

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Ashraful Islam LeonJul 6, 2025 · 3 min read

The Ethics of AI in Healthcare: A Human Rights Perspective

Artificial Intelligence (AI) is slowly becoming a game-changer in the healthcare world. From diagnosing diseases to predicting outbreaks, AI is helping doctors and patients in ways we never imagined before. But as this technology grows faster than ev...

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gyaniJun 23, 2025 · 6 min read

Debiasing LLM Judges: Understanding and correcting AI Evaluation Bias

Image Source: LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Fundamental questions to think about: (source: Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks | Proceedings of the 3...

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Muhammad SaadJun 4, 2025 · 5 min read

Leveling the Digital Playing Field How Algorithmic Bias in EdTech Disadvantages Low-Income Students

The Promise and the Problem Educational technology was supposed to be the great equalizer—a digital leap forward giving every student the tools to succeed, regardless of background. But beneath this optimistic veneer lies a troubling truth: many of t...

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