Category: Ethical AI
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The Great american AI Policy Pivot: From Trustworthy AI to Woke-free AI

American AI policy is at a crossroads, facing a sharp bifurcation between two competing futures. This isn’t just a policy debate; it’s a fundamental split in philosophy. The Biden administration’s path of careful stewardship and “equitable AI” now contrasts sharply with a prospective Trump framework demanding aggressive acceleration and “woke-free AI.” This divergence—one strategic, the…
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AI Recap Q3 – 2025: Agents, Power Plays, and the Real World

Q3 2025 was a turning point for AI. Agents moved from hype to everyday tools, governments scrambled for control, and soaring energy demands revealed the hidden costs of progress. From finance to filmmaking, AI seeped into daily life—while unease over jobs and trust lingered. The quarter showed AI is no longer optional, but unavoidable.
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EU Artificial Intelligence Act: An Overview

On March 13, 2024, the European Parliament approved the landmark Artificial Intelligence Act (AI Act), establishing a comprehensive regulatory framework for AI use within the European Union. This blog post dives into the Act’s significance and key provisions.
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Gemini: Google Stirs Controversy Again with Generative AI Product Announcement

Google announced its new AI model, Gemini, on December 6, 2023. In this blog, we will delve into the controversy surrounding this announcement and outline the steps the company should take to avoid similar setbacks in future product launches.
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Principles-Guided AI: Exploring the Potential of Constitutional AI

In this post, we’ll delve into Constitutional AI (CAI), a novel approach proposed by Anthropic for AI system development. We will explain what CAI is, how it differs from conventional AI methods, and how it can help create AI systems that are more aligned with human values and less likely to cause harm.
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Ethical AI: The Foundation for a Brighter Digital Future

This blog post examines the concept of ethical AI, synthesizing crucial insights from recent research and guidelines. By embracing an ethical framework that takes these guidelines into account, AI stakeholders can ensure that AI is developed, implemented, and used in a way that benefits all.




