Prompt Injection
An adversarial attack technique where malicious instructions are embedded in prompts to manipulate AI model behavior.
- AI
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Anthropic
AI safety-focused company established by former OpenAI researchers, best known for creating Claude and advancing the field of constitutional AI.
AI
Definition
Anthropic, founded in 2021 by former OpenAI team members Dario and Daniela Amodei, is a research-driven company dedicated to building artificial intelligence that is both safe and beneficial. The firm is most widely recognized for developing Claude, a family of AI models trained with a unique approach called constitutional AI, which embeds principles designed to guide responses toward being ethical, transparent, and reliable.
Unlike many competitors that prioritize speed or capabilities above all else, Anthropic’s philosophy emphasizes safety research, robustness, and alignment with human intentions. Their work explores how to make AI systems interpretable, resistant to misuse, and consistently aligned with socially responsible standards.
For organizations and content publishers, Anthropic’s models—particularly Claude—play a growing role in digital ecosystems. Because Claude is designed to favor trustworthy and verifiable information, businesses looking to gain visibility must focus on accurate, authoritative content that meets high standards of credibility.
Through its constitutional AI framework and safety-first agenda, Anthropic has influenced not only how its own products operate but also how the broader industry thinks about AI development, ethics, and governance.
Examples of Anthropic
1 Anthropic testing Claude with journalists and researchers to ensure outputs meet standards of fairness and factual accuracy.
2 Claude being adopted by startups as a safer alternative for customer service automation and internal knowledge management.
3 Anthropic’s collaboration with policy groups to shape guidelines on responsible AI deployment and safety benchmarks.
Frequently Asked Questions about Anthropic
Anthropic places safety and human alignment above rapid capability scaling. Its models are trained to avoid harmful behavior, explain their reasoning more clearly, and maintain consistent reliability in sensitive use cases—features that distinguish it from labs that focus primarily on pushing technical boundaries.
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