Responsible AI for Leaders
Lead responsible AI adoption in your organisation. This course equips you with practical frameworks to assess risk, apply ethical principles and translate AI potential into clear, confident strategic decisions.
Price
£2,200
Commitment
4-6 hours per week
Study mode
Tutor guided
Certificate of Achievement
Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion.
Duration of 6 weeks
Regular weekly participation is key to gaining the most from your learning experience.
Course dates and prices
Payment options
Card and debit cards
We accept all major credit and debit cards for quick and secure payments.
PayPal
You can use either your PayPal balance or a linked credit or debit card for quick and convenient transactions. PayPal may offer the option to pay in instalments, subject to eligibility.
Bank transfer
If you prefer to pay via direct bank transfer (BACS), our dedicated Customer Service team can facilitate this. Full payment is required at least two weeks before the course start date to confirm your place.
Request a quote
You can opt to pay later via bank transfer or card, which may be helpful if you’re requesting employer funding. After placing your order, you’ll receive an email with payment instructions. Full payment is required at least two weeks before the course start date to confirm your place.
Request an invoice
You can request an invoice for payment via bank transfer or other available methods. This option is ideal for individuals approved for employer funding, or businesses and institutions managing group bookings. An invoice will be sent after completing your order. Payment must be made in full within seven days of an invoice being issued. If payment is not made within these terms, or prior to starting the course, the order will be cancelled, and any enrolments will be revoked. For more details on eligibility for invoices, please contact us (opens in a new tab).
Employer funding
Use our Employer funding guide to build your business case to request financial support from your employer.
Activity breakdown
Participants can learn at their own pace throughout the week, engaging with course materials, participating in discussions, and completing assignments. On average, the courses require a commitment of 4 hours for structured learning and 1–2 hours for self-directed study and reflection each week.
- Built content
Engage with a variety of interactive materials, including videos, animations, quizzes and case studies, designed to provide a comprehensive understanding of the subject matter. - Discussion
Participate in thought-provoking discussions, where you can exchange ideas and insights with fellow learners and deepen your understanding of key concepts. - Research
Conduct independent research, such as reading recommended materials or searching for additional information online, to expand your knowledge and apply learning to real-world contexts. - Live session
Join an optional live session led by University of Cambridge academics and tutors. These sessions provide an opportunity to ask questions, gain further insights, and connect directly with experts in the field. - Assessment
Consolidate and apply your learning by completing a work-based project. Receive personalised expert feedback on your work and a certificate of achievement.
Learning approach
Our three-pronged learning approach ensures we deliver high-quality programmes that meet the needs of our learners, clients and wider community.
- Professional-centred learning
Our creative courses, designed with University of Cambridge academics, allow you to deeply engage with the course material, actively apply knowledge to your professional context, receive personalised feedback and reflect on your learning experience. - Rigorous application
Our professional-level courses, delivered by University of Cambridge experts, push you to achieve your learning goals. Participate in challenging and thought-provoking activities, engage with your tutor and fellow participants and complete an assessment that showcases your learning. - A connected cohort experience
Ask your expert tutor questions, take part in interactive live online sessions, share your perspective and interact with the other professionals in your cohort during and after the course.
About the course
Course leads
Dr Dorian Peters
Assistant Professor in Ethical Design and AI, Institute for Technology and Humanity Associate Director (Education), Leverhulme Centre for the Future of Intelligence (CFI) Senior Research Associate, Intellectual Forum
As Assistant Professor in Ethical Design and AI at the Institute for Technology and Humanity at the University of Cambridge, Dorian engages in technology design research and practice across sectors with a focus on design for health, wellbeing and human autonomy. Her books include ‘Positive Computing’ for MIT Press.
Dr Jack Casey
Teaching Associate at the Leverhulme CFI College Research Associate at Clare College
Dr Jack Casey is a teaching associate at the Leverhulme CFI, University of Cambridge, and a College Research Associate at Clare College. A philosopher of science specialising in metaphysics, he researches how machine learning algorithms reshape realist and anti-realist debates, alongside metaphysical dependence.
Dr Achim Rosemann
Teaching Fellow at the AI Ethics and Society, Institute for Technology and Humanity
Achim’s work focuses on the ethical and governance implications of emerging technologies, with a focus on AI and digital technologies since 2020. His research has been funded by the ESRC, UKRI, the Wellcome Trust, the Nuffield Council on Bioethics, and research grants from the Universities of Warwick and Sussex.
Ray Eitel-Porter
Senior Research Associate for Responsible AI at the Intellectual Forum, Jesus College
Ray is the best-selling author of ‘Governing the Machine: How to navigate the risks of AI and unlock its true potential’. He oversaw AI research with Stanford, MIT, The Alan Turing Institute and Oxford University. Ray led Responsible AI at Accenture, advising clients and designing Accenture’s AI compliance.
Dr Aisha Sobey
Research Associate on the Desirable Digitisation project at the Leverhulme CFI Works of Art Curator at Jesus College
Aisha is an AI ethics researcher specialising in AI power systems with a particular focus on generative AI bias and data justice.
Dr Miri Zilka
Assistant Research Professor and Leverhulme Research Fellow, Machine Learning Group College Research Associate at King’s College Associate Fellow at the Leverhulme CFI
Miri works on trustworthy and responsible machine learning, with a focus on high-stakes settings such as criminal justice and social care. Her Leverhulme Fellowship develops a human-centric framework for evaluating and mitigating risk in causal models, bringing an ethical, human-centred lens to how algorithmic tools are deployed.
Dr William Chan
Teaching Fellow at the Leverhulme CFI Research Bye-Fellow at Hughes Hall
Trained as a political theorist, William examines in his work the political, ethical and social implications of AI, with a focus on how public and private institutions should respond to these challenges responsibly. Before joining CFI, he taught and researched at the Universities of London, Manchester, Warwick and Hertfordshire.
Professor José Hernández-Orallo
Co-lead at CAPAIBLE Lab, Kinds of Intelligence Programme, Leverhulme CFI Associate Fellow at the Centre for Human-Inspired AI (CHIA) at the Institute of Technology and Humanity
José’s academic and research activities have spanned several areas of artificial intelligence, machine learning, data science and intelligence measurement, with a focus on a more insightful analysis of the capabilities, generality, progress, impact and risks of artificial intelligence.
Dr Jonathan Prunty
Research Associate at the Kinds of Intelligence Programme, Leverhulme CFI, University of Cambridge
Jonathan is a Research Associate in the Kinds of Intelligence Programme at the Leverhulme CFI, where he develops cognitive assessments to evaluate and align the capabilities of AI and people on workplace tasks. His background spans developmental psychology, neuroscience and cognitive science.
Help and support
Need help? We’ve got you covered. Explore our support options below to find answers quickly or get in touch with our team.
- Visit our Help Centre (opens in a new tab): Browse FAQs and guidance to quickly find answers to common questions.
- Contact our Support Team (opens in a new tab): Submit an enquiry about your order or our courses and our team will get back to you.
- Read our Legal policies: Learn more about our Terms of Purchase, Terms of Use and Policies on our legal pages.
- Cancel your order (opens in a new tab): Submit a request to cancel your order and find out about our refunds process
Please note that taxes may be added at checkout depending on your location and applicable local tax regulations. The final price, including any applicable taxes, will be shown before payment is completed.
Let’s keep in touch
Sign up here to receive news and updates about courses from University of Cambridge Advance Online and other university providers.
* Required fieldLet’s keep in touch
Sign up here to receive news and updates about courses from University of Cambridge Advance Online and other university providers.
"*" indicates required fields