Responsible AI Foundation

Artificial intelligence is no longer a futuristic concept. It’s here, and it’s transforming how businesses operate. But with great power comes great responsibility. As companies adopt AI, they must ensure it is used ethically and fairly. This is where ethical AI solutions come into play. They help businesses harness AI’s potential while avoiding pitfalls like bias, privacy breaches, and unfair practices. In this post, I’ll walk you through what ethical AI solutions mean for b

Image generated with Ideogram.ai For the past decade, the AI industry has operated under the assumption that more compute equals better models. Spend twice as much on training, get a better model. Deploy on bigger GPUs, get faster inference. The math seemed trustworthy as well, backed by years of scaling laws that consistently showed performance gains scaling predictably with resources. However, that era is now ending. ( Neurotechnus, 2025 ; Wired, 2025 ) Recent research from

India's new AI Governance Guidelines look, at first glance, like another government document full of principles and pillars, but there is a clear choice running through them once you look carefully. Instead of writing a single hard AI law, India is trying to shape how AI is built and used by changing everything around it, from data rules to sector regulators to new safety institutions ( MeitY, 2025 ). The guidelines were released by the Ministry of Electronics and Information