Integrity is not just about consistency and adherence to univeral moral values on the professional level but also on the personal level.
I will ensure that we will have efficiently scheduled meetings at your convenience at least weekly to share updates and keep you informed on all matters that matter.
Every decision or effort I make is driven with professional ethics as the foundation. I will always prioritize what's in your best interest as a client as part of my commitment to honesty and ethics.
As part of my commitment green practices, I will always attempt to create eco-friendly solutions.
The growing carbon footprint of artificial intelligence (AI) has been undergoing public scrutiny. Nonetheless, the equally important water (withdrawal and consumption) footprint of AI has largely remained under the radar. For example, training the GPT-3 language model in Microsoft's state-of-the-art U.S. data centers can directly evaporate 700,000 liters of clean freshwater, but such information has been kept a secret. More critically, the global AI demand is projected to account for 4.2-6.6 billion cubic meters of water withdrawal in 2027, which is more than the total annual water withdrawal of 4-6 Denmark or half of the United Kingdom. This is concerning, as freshwater scarcity has become one of the most pressing challenges. To respond to the global water challenges, AI can, and also must, take social responsibility and lead by example by addressing its own water footprint. In this paper, we provide a principled methodology to estimate the water footprint of AI, and also discuss the unique spatial-temporal diversities of AI's runtime water efficiency. Finally, we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI. (source: Cornell University)