Course summary
This exciting MPhil in Human-Inspired Artificial Intelligence is designed to equip the next generation of AI researchers, technologists, and leaders with the skills needed to develop human-centred, human-compatible, responsible and socially and globally beneficial AI technologies. The course offers a foundational module in human-inspired AI and several elective modules that students can select according to their interests and learning needs. Elective modules include skills modules covering technical and computational skills. These are useful for students with preliminary technical training who wish to consolidate skills. For students with a strong computational background, they can offer the opportunity for more advanced technical and interdisciplinary methods training. Elective modules also include specialist modules that offer learning opportunities in areas such as fundamental human-level AI, social and interactive AI, cognitive AI, creative AI, health and global AI, and responsible AI. The course also includes a period of supervised research where students work individually with supervisors to produce a research dissertation. The MPhil is directed by the Centre for Human-Inspired Artificial Intelligence (CHIA) within the Institute for Technology and Humanity (ITH). CHIA is dedicated to investigating the innovative ways in which human and machine intelligence can be combined to yield AI which is capable of contributing to social and global progress. It offers an excellent interdisciplinary environment where students can explore technical, human, ethical, applied and industrial aspects of AI. The course aims to equip students with the skills and knowledge to contribute critically, practically and constructively to interdisciplinary and cross-disciplinary research, scholarship and practice in human-inspired AI. It introduces students from diverse backgrounds to technical and research skills and specialist knowledge of AI applications and issues from a range of academic disciplines and provides them with the opportunity to carry out focused research under close supervision by domain experts at the University.
Entry requirements
Applicants for this course should have achieved a UK High II.i Honours Degree. If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. Although interviews are not normally part of the admissions process, some applicants may be invited to discuss their application and research proposal, should the Centre require further information. We accept students from a wide range of academic backgrounds, but applicants should be aware of and prepared for the computational, mathematical, and programming aspects of the course. We advise students with limited experience in these areas to join the open day to assess course fit for their need.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Cambridge
The Old Schools
Trinity Lane
Cambridge
CB2 1TN