In a military context, bias in AI reflects the decisions of its makers | Biometric Update

Summary

Ingvild Bode discusses the serious consequences of algorithmic bias in military AI, stating that biases at different stages of the AI lifecycle could result in legal and moral harm, particularly through flawed biometric identification systems like facial recognition. The article emphasizes how machine learning, a subset of AI, shares concerns about algorithmic bias in both civilian and military applications. It highlights work by researchers like Timnit Gebru and Joy Buolamwini, who have documented biases in facial analysis software. The article also explores the philosophy and ethics of AI, noting that technology is a reflection of societal biases and stressing the importance of diversity and ethical consideration in the development of AI systems.