Bias ing AI nuduhake ketidakadilan sistematis ing model — ngasilake asil sing ora adil nudhakaake grup-grup tartamtu, asring ngrefleksake bias ing data latihan. Iki minangka keprihatinan etis lan praktis sing serius, amarga AI sing bias bisa nyebabake bencana nyata lan nerusake diskriminasi.
Apa iku bias ing AI
AI BIAS → systematic, unfair skew in a model's outputs:
→ the model treats certain groups unfairly (e.g. by race, gender, age) or makes skewed
decisions
→ usually stems from BIASED TRAINING DATA (the model learns the biases in the data)
→ 'bias in, bias out' → models reflect and can AMPLIFY societal biases in their data
→ AI can perpetuate or worsen unfairness/discrimination
