AI technology har jagah use ho rahi hai — ChatGPT se lekar image generators tak. Lekin ek bada sawaal hai: kya yeh sustainable hai? Researcher Sasha Luccioni ka kehna hai ki AI ko sustainable banane ke liye humein do cheezein chahiye — better emissions data aur better understanding ki log AI kaise use kar rahe hain.
AI Sustainability Mein Sabse Badi Problem Kya Hai?
Nature ke mutabiq, Sasha Luccioni argue karti hain ki humare paas accurate emissions data nahi hai. AI models train karne mein bahut zyada energy lagti hai, lekin humein nahi pata ki exactly kitna carbon footprint hai. Isliye pehla step hai — better data collection.
Doosra issue hai — humein nahi pata ki log AI kaise use kar rahe hain. Kya woh ek simple query ke liye AI use kar rahe hain ya complex tasks ke liye? Har use case ka alag environmental impact hota hai. Luccioni ka kehna hai ki is understanding ke bina hum sustainable solutions nahi bana sakte.
Kya Solutions Ho Sakte Hain?
Researcher ke mutabiq, pehle humein AI companies ko force karna hoga ki woh apne emissions data ko public karein. Transparency se hi humein pata chalega ki kaunse models zyada energy-efficient hain aur kaunse nahi.
Doosra, humein AI usage ko track karna hoga. Jaise hum smartphone apps ka data usage track karte hain, waise hi AI models ke energy consumption ko bhi track karna chahiye. Isse users ko pata chalega ki unki AI usage ka environment par kya asar pad raha hai.
Hamaari Baat: AI Sustainability Ek Urgent Issue Hai
Seedha baat karein toh — AI ka growth exponential hai, lekin uska environmental cost bhi exponential ho sakta hai. Luccioni ka point bilkul sahi hai ki bina data ke hum kuch nahi kar sakte. AI companies ko abhi se transparency lane ki zaroorat hai, warna baad mein bahut der ho jayegi. Humari nazar mein, users ko bhi aware hona chahiye ki har AI query ka ek carbon cost hota hai. Sustainable AI sirf companies ki responsibility nahi hai — users ki bhi hai.
Sources & References
- How to make AI sustainable — Nature
