Why “AI Safety” Isn’t the Right Framing

AI is neither inherently safe nor unsafe—its impact depends on how we use it. At the Artificial Intelligence Action Summit in Paris, U.S. Vice President J.D. Vance emphasized AI’s opportunities rather than safety concerns. While ensuring responsible AI use is critical, the term “AI safety” misrepresents the real challenge. It’s time to shift the conversation to “responsible AI.”

Why “AI Safety” Isn’t the Right Framing

Labeling AI as a safety risk implies that the technology itself is inherently dangerous—like an unstable aircraft that needs fixing. But AI is more like a laptop or a smartphone—it’s not the device that’s unsafe, but how it’s used.

Yes, there are harmful AI applications: ?? Deepfake pornography ?? Misinformation and fake news ?? Unreliable medical diagnostics ?? Addictive AI-driven algorithms

These risks aren’t about AI’s safety but rather its irresponsible use. Just as we regulate airplane operations, cybersecurity, and ethical data practices, we should govern AI applications—not the technology itself.

Responsible AI: The Right Perspective

? Developing AI with ethical guidelines ? Regulating its misuse rather than fearing the technology ? Encouraging innovation while setting clear accountability

Instead of fearing AI, let’s harness it responsibly. By shifting from “AI safety” to “responsible AI,” we can focus on ethical development, regulation, and real-world impact.

What are your thoughts? Should we rethink “AI safety” in favor of responsible AI? Let’s discuss. ?? #ResponsibleAI #AISafety #EthicalAI #ArtificialIntelligence