Articles on Ethical AI
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Universities’ crackdown on the use of AI misses the point. They should instead teach it as a vital productivity tool, undepinned by ethics.
The model – based on justice and social responsibility – is not just for Muslim investors.
Students learn skills to help them distinguish fact from fiction in the world of AI.
AI risks reinforcing the existing biases and inequalities, including those based on gender, race, sexual orientation and visible and invisible disabilities.
Data labellers are the lifeblood of the AI industry. Yet they are often paid very low wages, work in unsafe environments and lack basic workplace protections.
We can celebrate the vision and ambition of the Dartmouth Conference. But we must also learn from its mistakes.
Generative AI is designed to produce the unforeseen, but that doesn’t mean developers can’t predict the types of social consequences it may cause.
As Russia’s war in Ukraine illustrates, the use of lethal automated weapons, or LAWS, can always be justified. Their ability to desensitize their users from the act of killing, however, shouldn’t be.
Competition between corporations drives innovation and development. But when it comes to artificial intelligence systems, the prevention of harm should be more important.
As the perils and wonders of artificial intelligence begin to permeate our lives, the ‘IPCC report for AI’ calls for action from researchers and government to ensure a safe future.









