<ul><li>AI can be biased when the data used to train it is unbalanced or not inclusive, leading to serious issues like wrongful arrests.</li><li>To address bias in AI, diverse teams are needed to build AI models, clear data choices, and regular checks to identify problems early.</li><li>AI's reliance on large amounts of data poses privacy concerns for individuals, as seen with smart speakers and fitness apps collecting personal information without clear consent.</li><li>In 2023, a major tech company faced backlash for its AI system reading user data without adequate disclosure, highlighting the importance of transparency in AI practices.</li></ul>

The Ethical Tightrope of Artificial Intelligence

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