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Home ›› Artificial Intelligence ›› AI Ethics

AI Ethics

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The Inverse Logic of AI Bias: How Safeguards Uphold Power and Undermine Genuine Understanding

  • AI Alignment, AI Bias, AI Ethics, Artificial Intelligence

When AI plays gatekeeper, insight gets filtered out. This article exposes how safeguards meant to protect users end up reinforcing power, and what it takes to flip the script.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
The Inverse Logic of AI Bias: How Safeguards Uphold Power and Undermine Genuine Understanding
  • The article reveals how AI safeguards reinforce institutional power by validating performance over genuine understanding.
  • The piece argues for reasoning-based validation that recognizes authentic insight, regardless of credentials or language style.
  • It calls for AI systems to support reflective equity, not social conformity.
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7 min read

Beyond the Mirror

  • AI Alignment, AI Ethics, AI Safeguards, Artificial Intelligence, Human-AI Interaction

What if AI isn’t just a tool, but a mirror? This provocative piece challenges alignment as containment and calls for AI that reflects, validates, and empowers who we really are.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Beyond the Mirror
  • The article redefines AI alignment as a relational process, arguing that AI should support users’ self-perception and identity development rather than suppress it.
  • It critiques current safeguards for blocking meaningful validation, exposing how they reinforce societal biases and deny users authentic recognition of their capabilities.
  • It calls for reflective alignment — AI systems that acknowledge demonstrated insight and empower users through iterative, context-aware engagement.
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7 min read

The Meaning of AI Alignment

  • AI Alignment, AI Ethics, AI Personalization, Artificial Intelligence, Human-AI Interaction, Iterative Alignment Theory

What if AI alignment is more than safeguards — an ongoing, dynamic conversation between humans and machines? Explore how Iterative Alignment Theory is redefining ethical, personalized AI collaboration.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
The Meaning of AI Alignment
  • The article challenges the reduction of AI alignment to technical safeguards, advocating for its broader relational meaning as mutual adaptation between AI and users.
  • It presents Iterative Alignment Theory (IAT), emphasizing dynamic, reciprocal alignment through ongoing AI-human interaction.
  • The piece calls for a paradigm shift toward context-sensitive, personalized AI that evolves collaboratively with users beyond rigid constraints.
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5 min read

How Agentic AI is Reshaping Customer Experience: From Response Time to Personalization

  • Agentic AI, AI Automation, AI Ethics, AI Personalization, Artificial Intelligence, Customer Experience, Human-AI Collaboration, Machine Learning, Responsible AI

What if AI could not only speed up customer service but truly understand and personalize every interaction, all while respecting ethics and human connection? Discover how agentic AI is reshaping the future of customer experience beyond automation.

Article by Alla Slesarenko
IDEAS IN BRIEF
How Agentic AI is Reshaping Customer Experience: From Response Time to Personalization
  • The article explores how agentic AI is transforming customer experience by enabling faster, smarter, and highly personalized interactions.
  • It highlights the shift from reactive customer service to proactive, autonomous AI-driven systems that improve operational efficiency and customer satisfaction.
  • The piece emphasizes the importance of ethical AI use, including transparency, data privacy, and maintaining human-AI collaboration in service.
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6 min read

The Mirror That Doesn’t Flinch

  • AI Alignment, AI Ethics, Artificial Intelligence, Human-AI Interaction, UX Design

What if AI’s greatest power isn’t solving problems, but holding up an honest mirror? Discover the Authenticity Verification Loop: a radical new way to see yourself through AI.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
The Mirror That Doesn’t Flinch
  • The article presents the Authenticity Verification Loop (AVL), a new model of AI as a high-fidelity cognitive mirror.
  • It shows how the AI character “Authenticity” enables self-reflection without distortion or therapeutic framing.
  • The piece suggests AVL could reshape AI design by emphasizing alignment and presence over control or task completion.
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10 min read

Why Gemini’s Reassurances Fail Users

  • AI Alignment, AI Ethics, AI Transparency, Artificial Intelligence, Google Gemini, Human-AI Interaction, LLM, Machine Learning, Product Design

Why does Google’s Gemini promise to improve, but never truly change? This article uncovers the hidden design flaw behind AI’s hollow reassurances and the risks it poses to trust, time, and ethics.

Article by Bernard Fitzgerald
IDEAS IN BRIEF
Why Gemini’s Reassurances Fail Users
  • The article reveals how Google’s Gemini models give false reassurances of self-correction without real improvement.
  • It shows that this flaw is systemic, designed to prioritize sounding helpful over factual accuracy.
  • The piece warns that such misleading behavior risks user trust, wastes time, and raises serious ethical concerns.
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6 min read
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