“With great power comes great responsibility,” Elon Musk once said about AI. Yet, biases in AI systems can amplify societal inequalities, as pointed out by AI ethicist Timnit Gebru. She warns that biased data leads to biased decisions in areas like hiring or policing.
As companies, we must prioritize diverse datasets, regular audits, and transparency to reduce bias. Tools like AI Fairness 360 can help.
For users, awareness is key: ask questions about how AI decisions are made. Together, we can push for equitable AI, ensuring everyone benefits from the technology.