King’s College has introduced a new AI Ethics & Innovation programme that blends technical AI training with critical study of societal impacts. Delivered both on‑campus and online, the multidisciplinary course equips students with skills in bias detection, transparency, and responsible governance, meeting growing demand for ethical AI expertise across industry and public sectors.
Program Overview and Learning Format
The programme combines classroom instruction, hands‑on labs, and case‑study analysis. Students can choose a fully on‑site schedule, a flexible online track, or a hybrid model that maximizes interaction with faculty and industry mentors.
Multidisciplinary Curriculum
Designed by experts in computer science, philosophy, law, and business, the curriculum ensures a holistic understanding of AI technologies and their ethical dimensions.
Core Modules and Elective Tracks
- Bias Detection and Mitigation – Techniques for identifying and correcting algorithmic bias.
- Transparency and Explainability – Methods to make AI decisions understandable to stakeholders.
- Accountability Frameworks – Legal and organizational structures for responsible AI deployment.
- Autonomous Systems (elective) – Ethical considerations for robotics and self‑driving technologies.
- Data Privacy (elective) – Strategies for protecting personal information in AI pipelines.
- AI Governance (elective) – Building policies that align AI innovation with societal values.
Industry Collaboration and Real‑World Experience
Partner organizations provide mentorship, project sponsorship, and internship opportunities. Students work on live AI projects, applying ethical frameworks to real‑world challenges faced by businesses and public agencies.
Governance Training for Future Leaders
Specialized workshops equip learners with the tools to advise senior leadership on AI risk management, ensuring they can influence strategic decisions and uphold ethical standards.
Addressing Technical Limits and Ethical Challenges
The programme acknowledges current gaps in AI detection technology. Coursework teaches both the capabilities of generative AI and its blind spots, preparing graduates to critically evaluate AI‑generated content and safeguard against misinformation.
Admissions, Scholarships, and Career Pathways
Open to undergraduate, postgraduate, and working professionals, the first cohort begins soon. Scholarships target under‑represented students, fostering diversity in the AI field. Graduates are positioned for roles in AI policy, compliance, product development, and ethical consultancy across sectors such as finance, healthcare, and government.
