The digital ethics curriculum: Should every university require a 'how to work with AI' course?
Universities face growing pressure to teach AI literacy as graduates enter workplaces increasingly dependent on artificial intelligence. Many students leave college unprepared to navigate ethical dilemmas, legal responsibilities, or the practical limits of AI tools. Key areas include algorithmic bias, data privacy, transparency, and intellectual property. With professional liability and emerging regulations like the EU AI Act, AI competence is no longer optional. Educators argue that mandatory AI courses should extend beyond computer science to prepare all students for modern careers.
Universities face growing pressure to teach AI literacy as graduates enter workplaces increasingly dependent on artificial intelligence. Many students leave college unprepared to navigate ethical dilemmas, legal responsibilities, or the practical limits of AI tools. Key areas include algorithmic bias, data privacy, transparency, and intellectual property. With professional liability and emerging regulations like the EU AI Act, AI competence is no longer optional. Educators argue that mandatory AI courses should extend beyond computer science to prepare all students for modern careers.
