2016 mein, 'Godfather of AI' Geoffrey Hinton ne ek machine learning conference mein stage par kaha tha ki AI jald hi radiology profession ko khatam kar dega. Unhone kaha tha ki logon ko naye radiologists ko train karna bhi band kar dena chahiye. Lekin aaj, 10 saal baad, sach kuch aur hi hai.
Hinton ne prediction di thi ki 5 saal ya maximum 10 saal mein AI insaanon se behtar kaam karega. Unhone radiologists ko ek coyote se compare kiya jo cliff se gir chuka hai lekin abhi tak neeche dekha nahi hai. Lekin aaj radiologists ki salary $571,000 tak pahunch gayi hai aur unki demand aur bhi badh rahi hai.
Kyun AI radiologists ki jagah nahi le paya
Tech experts jaise Hinton ne socha tha ki radiologists ka kaam formulaic aur repetitive hai — jaise scans padhna aur reports likhna. Isliye unka maanna tha ki AI aasani se unki jagah le lega. Lekin aisa nahi hua.
Radiology sirf images padhne ka kaam nahi hai. Ismein complex decision-making, patient interaction, aur clinical context samajhna shamil hai. AI ne radiologists ki madad ki hai, unki jagah nahi li.
AI ne radiologists ki value badhayi, khatam nahi ki
Is story se ek bada lesson milta hai. AI predictions ke baare mein humein zyada confident nahi hona chahiye. 2016 mein Hinton ne jo kaha tha, woh galat sabit hua. Radiologists ki demand aur salary dono badh gayi.
AI ne radiology ko aur important bana diya hai. Ab radiologists AI tools ka use karke aur accurate diagnosis kar sakte hain. Lekin AI unki jagah nahi le sakta.
Hamaari Baat: AI predictions par bharosa karna risky hai
Seedha baat karein toh, yeh story humein ek important lesson deti hai. Jab bade tech experts AI ke baare mein doomsday predictions dete hain, toh humein unhe blindly accept nahi karna chahiye. Hinton ne 2016 mein confidently kaha tha ki radiologists ki zaroorat khatam ho jayegi. Lekin aaj, 10 saal baad, radiologists ki salary $571K hai aur demand growing fast hai.
Hamari nazar mein, AI ek powerful tool hai jo jobs ko badal sakta hai, lekin unhe khatam karna itna aasan nahi hai. Radiologists ne AI ko apnaya aur apni value aur badhayi. Yeh baat har us industry ke liye relevant hai jahan AI ke baare mein predictions ho rahe hain. AI se darna nahi chahiye, balki usse seekhna aur adapt karna chahiye.
