The Hidden Dangers of Bias in Artificial Intelligence

Artificial intelligence often reflects and amplifies societal biases, from facial recognition errors to flawed healthcare algorithms. Without addressing systemic inequities in data and design, AI risks perpetuating discrimination in justice, health, and beyond, undermining its potential.

The Hidden Dangers of Bias in Artificial Intelligence

The Flawed Promise of AI: Tackling Bias in Justice, Ethics, and Beyond

Artificial intelligence (AI) has long promised to modernise industries, improve efficiency, and solve societal challenges. But behind the glossy exterior of this technological marvel lies a pressing issue—bias.

Whether in facial recognition, healthcare, or criminal justice systems, AI has shown troubling patterns of perpetuating and amplifying discrimination.

Understanding how bias creeps into algorithms and addressing its consequences is essential for ensuring these tools benefit everyone.

Bias in the Building Blocks of AI

Bias in AI isn’t just about faulty data; it’s deeply rooted in the human elements behind the scenes.

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