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Photo editing is a skill - and ai machinery that's "fixing", resurrecting, colour correcting... is putting a generic stamp and impossible beauty standard on women and the slop is erasing women for the natural beauty and flaws and fabulousity. Sridevi's original photos ai corrected is an over correction. To such a point, the post-edited photo looks nothing like the original icon that Sridevi was.... which brings me to the latest rant of the day;
The Erosion of Authenticity: How AI Photo Editing is Undermining Cultural Icons
Fasten your seat-belts, its going to be a bumpy ride.
Photo editing has long been a skilled craft - one that respects light, composition, and the soul of the subject. Today’s AI “restoration,” colour correction, and “enhancement” tools, however, function more like blunt instruments of homogenisation. They stamp faces with a generic, poreless, impossibly symmetrical beauty standard that flattens individuality. What gets erased is not merely technical imperfection but the very essence of natural beauty: the expressive asymmetries, lived-in lines, distinctive features, and charismatic flaws that made icons unforgettable. The result is visual slop — technically polished, culturally hollow.
Take Sridevi, the legendary Indian actress whose magnetic screen presence defined an era. Her original photographs capture a vibrant, singular face: the sharp expressiveness of her eyes, the particular curve of her smile, her bulbous nose that somehow was a source of constant chagrin to only her - no one else - the energy that radiated from her bone structure and expressions. AI “corrections” of these images often go far beyond dust removal or colour balancing. They smooth, reshape, and re-proportion her features until the woman staring back barely resembles the icon millions adored. The over-correction doesn’t honour her - it replaces her with a generic template of contemporary attractiveness, what (often Western) ideals of beauty standards that obfuscate original identity into a mass produced reserve of Barbie-fication. The fabulousity born of her specific humanity disappears.
This pattern repeats across yesteryear stars. AI systems, trained predominantly on current beauty trends and filtered social media imagery, systematically diminish the very characteristics that gave actors cultural weight: a crooked smile that conveyed mischief, a prominent nose that lent gravitas, skin texture that told stories of age and experience, or eyes whose unique shape conveyed emotion with precision. These traits weren’t flaws; they were signatures. By erasing them, AI severs the visual link between the public and the performer’s authentic self.
In another decade (if not sooner), the damage may become irreversible. Future generations will encounter “restored” archives of Marilyn Monroe, Audrey Hepburn, MGR, or Sridevi that look like smoothed avatars rather than real people. The cultural significance of these icons - rooted in their tangible, flawed, human presence - will dilute into shadow versions of themselves. Historical memory itself risks distortion: we will remember not who they were, but what an algorithm decided they should have been.
Preserving original photographs, unedited or lightly and transparently restored, is therefore an act of cultural stewardship. Authenticity carries emotional truth. When we let AI overwrite that truth with generic perfection, we don’t just lose pixels - we lose the irreplaceable texture of human stardom.
