Bias fl-AI jirreferi għal inżustizzja sistematika fil-mudelli — li tipproduċi riżultati li jqassru b'mod inġust ċerti gruppi, ħafna drabi jirifletti biases fit-data ta' taħriġ. Huwa ta' ħtieġa serja etika u prattika, billi AI bias jista' jikkawża ħsara reali u jipperpetwà diskriminazzjoni.
X'inhu l-bias fl-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
