While pre-built models can work for many use cases, private RAG and LLM systems guarantee data protection and ownership, making them relevant for organizations seeking to implement AI in a secure way.
The Daiki process enables you to use and customize language models responsibly, enhancing the safety, truthfulness, and helpfulness of LLMs.
ISO 42001 is a certifiable framework for an AI Management System (AIMS) that aims to support organizations in the responsible development, delivery, or use of AI systems.
A tale of delicate balances, trade-offs, and the need for pragmatic solutions in regulatory eco-systems
U.S. President Biden’s Recent Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI Broadens NIST’s Role and Global Influence
Countries outside the Western hemisphere might be great AI-guardrail makers that protect and empower individuals to safeguard societies and our planet.
As the global landscape of AI governance continues to evolve, one thing becomes abundantly clear: responsible AI practices are non-negotiable.
By counteracting present challenges, we can pave the way for tackling future existential threats.
Responsible AI demands a dynamic and thoughtful approach, guided by moral reasoning and continuous ethical discourse. Is it reachable?
United Nations calls for rules for AI and ensuring that AI serves the common good.