AI tool ko message bhejna aasaan hai, lekin jo information aap paste kar rahe hain woh kabhi personal, financial ya kisi aur ki confidential detail bhi ho sakti hai. Har service data ko ek jaise handle nahi karti. Storage, review, training aur deletion ke rules provider, product aur settings ke hisaab se alag ho sakte hain. Isliye privacy ka pehla step speed kam karke input ko dekhna hai.
Yeh das niyam everyday use ke liye hain, kisi tool ko completely risk-free batane ke liye nahi. Bharat AI Sathi ka AI Chat (/chat) ho ya koi doosri service, current privacy policy aur available controls khud check karein. Sensitive kaam ke liye sirf convenient interface dekhkar decision na lein. Aapke employer, school ya client ke data rules bhi personal preference se zyada restrictive ho sakte hain.
Niyam 1: sirf zaroori information dein
Prompt likhne se pehle poochhein: Is answer ke liye model ko kya jaana zaroori hai? Leave application ka draft banwane ke liye poora medical report ya employee database dena zaroori nahi. Generic situation, required tone aur output format kaafi ho sakte hain. Data minimisation ka seedha matlab hai kaam jitni information maangta hai, utni hi share karna, poori file nahi.
Placeholder ka practical istemal
Naam ki jagah Customer A, address ki jagah City B aur account number ki jagah ACCOUNT likh sakte hain. Lekin sirf naam hatane se anonymity guaranteed nahi hoti. Rare job title, exact incident date aur chhote town ka combination bhi kisi ko identify kar sakta hai. Example ko itna general karein ki answer useful rahe, par person ki pehchaan zaroorat ke bina na khule.
Niyam 2: Aadhaar, PAN aur banking details paste na karein
General-purpose AI chat mein Aadhaar number, PAN, full bank account details, card number, CVV, UPI PIN ya netbanking credentials share na karein. Form ka meaning samajhna ho toh field ka naam aur generic question poochhein. Identity verification ke liye jo information official service ko chahiye, woh uske verified process mein hi dein; AI assistant ko beech ka verification counter na banaayein.
Document mein redaction karte waqt sirf text par transparent box rakh dena enough nahi ho sakta. Underlying text, metadata, QR code ya doosre visible details se information bach sakti hai. Sabse safe practical option aksar document upload na karke non-sensitive question type karna hota hai. Kisi aur ke identity documents toh unki permission ke bina bilkul share na karein.
Niyam 3: OTP aur passwords kabhi share na karein
OTP, recovery code aur password kisi chat, support message ya AI agent ko na dein. Agar screen par koi assistant kahe ki account connect karne ke liye OTP yahan paste karo, toh rukkar official authentication flow verify karein. Password ya access token galti se share ho gaya ho toh usse exposed samajhkar relevant service par change ya revoke karein; sirf message delete karna enough nahi.
Technical secrets bhi personal secrets hain
Developers ke liye API keys, database URLs, private certificates aur session cookies bhi sensitive hain. Debugging ke liye error share karte waqt logs ko inspect karein. Unmein email, tokens ya customer records aa sakte hain. Dummy values use karein aur minimal reproducible example banayein. Model ko secret hide rakhne ki instruction dena secret upload na karne ka substitute nahi hai.
Niyam 4: privacy policy aur settings padhein
Service ki current policy mein dekhein ki prompts kaise use hote hain, kitne samay retain ho sakte hain aur deletion ka process kya hai. Training opt-out, temporary chat ya history control jaise options hon toh unka actual scope samjhein. Har setting ka naam aur effect alag ho sakta hai. Ek product ke business plan ki policy ko uske personal account par automatically apply na maanein.
History off hone ka matlab zero retention zaroori nahi, aur training opt-out ka matlab har tarah ka processing band hona bhi zaroori nahi. Policy unclear ho toh highly sensitive information ke liye service use na karna reasonable decision hai. Website par padlock connection encryption ka signal hai; woh provider ki poori privacy practice ya business identity ki guarantee nahi deta.
Niyam 5: fake AI apps aur phishing se bachein
Popular AI tool ke naam se cloned website, fake advertisement ya message aa sakta hai. Official source se domain aur app publisher verify karein. Free premium access, urgent account closure ya instant refund ke naam par login maangna warning sign ho sakta hai. Search result mein upar aana authenticity ka proof nahi. Unknown APK ya unofficial browser extension install karne se pehle extra caution rakhein.
- Link kholne se pehle sender aur domain check karein.
- Password manager ka domain mismatch warning ignore na karein.
- Support ke naam par remote screen access na dein.
- Suspicious download ko install karke test na karein.
Niyam 6: permissions aur connected accounts limit karein
AI app ko microphone, camera, contacts, storage ya email access dene se pehle purpose samjhein. Ek feature ke liye permission useful ho sakti hai, par har permission permanently on rakhna zaroori nahi. Connected accounts mein requested access scope padhein. Email summary ke liye broad mailbox access dena privacy decision hai, sirf convenient button click nahi. Kaam ke baad unused connections revoke karein.
Shared device par extra care
Cyber cafe, office reception ya family computer par account login karna additional risk laata hai. Password save na karein, kaam ke baad logout karein aur downloaded files check karein. Private browsing local browsing traces kuch had tak limit karta hai, lekin provider, network ya device monitoring se invisible nahi banata. Sensitive documents ke liye trusted device aur approved process choose karein.
Niyam 7: client, office aur bachchon ka data bachayein
Customer lists, employee salaries, unpublished business plans aur student records apne personal AI account mein paste na karein. Organisation ka approved tool aur data-handling rule follow karein. Permission milne par bhi minimum necessary information share karein. Bachchon ki photos, school details, location aur health information ke saath extra caution rakhein; entertaining AI output ke liye unki privacy sacrifice karna zaroori nahi.
Niyam 8: AI ke links aur instructions verify karein
AI ka diya link ya helpful lagne wali instruction automatically safe nahi hoti. External documents aur webpages mein malicious directions bhi ho sakti hain. Kisi tool ko payment, file deletion ya account change ka access ho toh action se pehle destination aur scope review karein. Unknown command copy karke chalana, ya suggested website par credentials enter karna, bina verification ke avoid karein.
Niyam 9: account aur device security maintain karein
Unique password, supported multi-factor authentication aur updated device basic protections hain. Recovery email ka access secure rakhein aur login alerts review karein. Extension aur app list mein jo use nahi hota use hata dein. Publicly shared chat links ko bhi check karein; conversation share karne se pehle private details remove karein. Shareable hona aur public karna safe hona ek baat nahi hai.
Niyam 10: galti ho toh jaldi action lein
Sensitive detail share ho gayi ho toh pehle identify karein kya expose hua. Password badlein, token revoke karein, suspicious sessions logout karein aur relevant provider ko contact karein. Banking fraud ka doubt ho toh bank ke official channel par turant report karein; India mein cybercrime reporting ke liye 1930 aur National Cyber Crime Reporting Portal relevant channels hain. Evidence sambhalein, lekin public post mein secrets dobara expose na karein.
Nishkarsh
AI privacy ka practical rule hai: kam data dein, official service verify karein aur sensitive actions par rukkar review karein. Settings useful hain, par complete safety ka promise nahi. Aadhaar, PAN, banking secrets aur OTP ko general chat se door rakhna, permissions limit karna aur exposure par jaldi action lena achchi daily habits hain.