AIMarichi · UPSC
Data hi AI ki Neev: Bias, Consent aur Bharatiya Bhashaon ka Data
Agar ek AI model ko zyadatar English aur shehri data par sikhaya gaya ho, toh woh gaon ki ek mahila kisan ki madad kitni achhi kar payega? Aur us data ko lene ki ijaazat kisne di?
Socho pehle… phir dekho jawab
AI apne training data jitna hi achha aur nishpaksh hota hai. Teen sawaal hamesha poochho: data kiska hai (representation/bias), kaise liya gaya (consent, privacy), aur kaise jaancha gaya (test, audit). Bharat ke liye bhasha-vividhata aur data sanrakshan dono kendriya hain — GS3 S&T, GS2 governance aur GS4 fairness ka sangam.
Concept: machine learning model training data se pattern seekhta hai aur alag rakhe test data par jaancha jaata hai. Agar data mein kisi samooh, bhasha ya kshetra ki kami hai (representation bias), label galat hain (label bias), ya purane faislon ki asamanta data mein darj hai (historical bias), toh model use dohraata hai aur kabhi badhata bhi hai. Overfitting aur distribution shift (training aur asli duniya ka data alag) se bhi model asli upyog mein fisal sakta hai.
Bharat ka sandarbh: Bhashini (MeitY ke tahat National Language Translation Mission) Bharatiya bhashaon ke liye anuvaad aur speech technology bana raha hai, aur 'Bhashadaan' crowdsourcing se nagrik apni bhasha mein data de sakte hain. Digital Personal Data Protection Act, 2023 digital personal data ke liye consent-aadharit dhaancha deta hai aur Data Protection Board of India banata hai — isliye personal data se model banana ab kanooni zimmedari bhi hai.
Prelims traps: (a) bias sirf algorithm ke code se nahi, data se bhi aata hai; (b) training data par 100% accuracy achhe model ka saboot nahi — overfitting ho sakta hai; (c) DPDP Act, 2023 sirf online liye data par nahi, offline liye gaye aur baad mein digitise kiye gaye personal data par bhi lagu hota hai.
Mains angle: ek taraf, Bharatiya bhashaon aur sthaniya sandarbh ka data AI ko samaveshi aur sasta banata hai (kheti salah, sarkari sevaon tak pahunch). Doosri taraf, bade paimane par data ikattha karne mein privacy, consent aur data ke laabh ke nyaayasangat bantwaare ke sawaal hain. Santulan ke upaay: consent aur purpose limitation, anonymisation, bias audit, aur samudaayon ki bhaagidaari.
Ghar pe try karo
250 shabd likho: 'AI ka nishpaksh hona uske data ke nishpaksh hone par tika hai.' Ek bias ka prakaar, ek Bharatiya pahal (Bhashini ya DPDP Act, 2023) aur ek sudhaar (jaise bias audit) shamil karo. Phir apne phone ke kisi voice ya translation feature mein ek hi vaakya do alag bhashaon mein bol kar jaancho aur note karo kahan fisla.
Wow!
AI ek aaina hai, khidki nahi — woh duniya nahi, apna data dikhata hai.
3 sawaal
- Trap: sahi kathan chuno.
Jawab dekho
Representation bias tab hota hai jab data mein kisi samooh ya bhasha ki kami ho. Bias data se bhi aata hai; training par 100% overfitting ho sakta hai; test se tune karna leakage hai.
- Digital Personal Data Protection Act, 2023 ke tahat kaun si sanstha banti hai?
Jawab dekho
Data Protection Board of India. Act Data Protection Board of India ki sthaapna karta hai.
- Bhashini kis mantralaya ke tahat hai?
Jawab dekho
Electronics aur Information Technology Mantralaya (MeitY). Bhashini MeitY ke National Language Translation Mission ke roop mein chalta hai.
NCERT se jodo: GS3 — Science & Technology (AI); GS2 — governance, data protection; GS4 — fairness