AI Tradeoffs: From Efficiency Wins to Ethical Questions—Path to Responsible Intelligence
AI adoption has skyrocketed—from 20% in 2017 to 78% of companies in 2025. But today, the real question isn’t whether AI is “worth it”—it’s how we make sure its value outweighs its costs.
Last week, Google released a technical report showing major efficiency gains for its Gemini model. As technology advances, can we balance innovation with environmental and social responsibility? For every leap forward, there’s a growing environmental and social bill. Are we ready to pay it?
The Dual Nature of AI: New Paradigm for Our Common Future
How can AI and Large Language Models (LLMs) be more inclusive and equitable? How can we rethink data authenticity, provenance, representation, and inclusion in AI? With AI's growing presence, and a proliferation of synthetic content, misinformation and disinformation continues to be one of the world’s greatest global risks. At the same time, global threats are calling for urgent solutions and an AI approach that postulate “imperatives for social co-operation, communication and cognition on a planetary scale” is more important now than ever. Explore how AI can be a tool, not only to help avert threats, but to empower us to create, connect, and thrive in a more interconnected and equitable world.