| Institution | University of Cambridge |
|---|---|
| Department | Department of Computer Science and Technology |
| Web | https://www.cam.ac.uk |
This exciting PhD in Human-Inspired Artificial Intelligence will train the next generation of AI researchers, technologists, and leaders in the development of human-centred, human-compatible, responsible and socially and globally beneficial AI technologies. The course offers research training in areas such as fundamental human-level AI, social and interactive AI, cognitive AI, creative AI, health and global AI, and responsible AI. Students will be educated in an interdisciplinary environment where they can get access to expertise not only in the technical but also human, ethical, applied and industrial aspects of AI.
This programme is distinct from other PhD programmes in that it takes a strongly interdisciplinary and cross-disciplinary approach to technical AI. It will be based at the Centre for Human-Inspired Artificial Intelligence (CHIA) within the Institute for Technology and Humanity (ITH) where PhD students will have access to both a large community of scholars and students tackling similar questions and to the active research events programme that constitutes a key part of CHIA’s work. The course addresses the broader need for experts equipped to develop more responsible and human-centred AI as academia, industry, government and non-profit sectors increasingly recruit AI specialists and is a logical next step for students moving through AI-related master’s programmes and wishing to specialise in human-inspired AI. The interdisciplinary nature of human-inspired AI means that the programme will involve working closely also with other units of the University, including co-supervision arrangements, access to research seminars, and access to facilities.
The PhD in Human-Inspired AI aims to equip students with the skills and knowledge to contribute critically and constructively to research in human-inspired AI. It introduces students from diverse backgrounds to research skills and specialist knowledge 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.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | Applicants for this course should have achieved a UK Masters (Pass). If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. Distinction or equivalent in a master’s level degree is normally required but in certain cases CHIA may consider other postgraduate work or qualifications alongside a strong honours degree in a relevant field. If you wish to apply to undertake a PhD on a part-time basis please refer to the admissions advice for potential part-time students. 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 their research. We advise students with limited experience in these areas to join the open day to assess course fit for their need. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
This exciting PhD in Human-Inspired Artificial Intelligence will train the next generation of AI researchers, technologists, and leaders in the development of human-centred, human-compatible, responsible and socially and globally beneficial AI technologies. The course offers research training in areas such as fundamental human-level AI, social and interactive AI, cognitive AI, creative AI, health and global AI, and responsible AI. Students will be educated in an interdisciplinary environment where they can get access to expertise not only in the technical but also human, ethical, applied and industrial aspects of AI.
This programme is distinct from other PhD programmes in that it takes a strongly interdisciplinary and cross-disciplinary approach to technical AI. It will be based at the Centre for Human-Inspired Artificial Intelligence (CHIA) within the Institute for Technology and Humanity (ITH) where PhD students will have access to both a large community of scholars and students tackling similar questions and to the active research events programme that constitutes a key part of CHIA’s work. The course addresses the broader need for experts equipped to develop more responsible and human-centred AI as academia, industry, government and non-profit sectors increasingly recruit AI specialists and is a logical next step for students moving through AI-related master’s programmes and wishing to specialise in human-inspired AI. The interdisciplinary nature of human-inspired AI means that the programme will involve working closely also with other units of the University, including co-supervision arrangements, access to research seminars, and access to facilities.
The PhD in Human-Inspired AI aims to equip students with the skills and knowledge to contribute critically and constructively to research in human-inspired AI. It introduces students from diverse backgrounds to research skills and specialist knowledge 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.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | Applicants for this course should have achieved a UK Masters (Pass). If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. Distinction or equivalent in a master’s level degree is normally required but in certain cases CHIA may consider other postgraduate work or qualifications alongside a strong honours degree in a relevant field. If you wish to apply to undertake a PhD on a part-time basis please refer to the admissions advice for potential part-time students. 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 their research. We advise students with limited experience in these areas to join the open day to assess course fit for their need. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
This exciting PhD in Human-Inspired Artificial Intelligence will train the next generation of AI researchers, technologists, and leaders in the development of human-centred, human-compatible, responsible and socially and globally beneficial AI technologies. The course offers research training in areas such as fundamental human-level AI, social and interactive AI, cognitive AI, creative AI, health and global AI, and responsible AI. Students will be educated in an interdisciplinary environment where they can get access to expertise not only in the technical but also human, ethical, applied and industrial aspects of AI.
This programme is distinct from other PhD programmes in that it takes a strongly interdisciplinary and cross-disciplinary approach to technical AI. It will be based at the Centre for Human-Inspired Artificial Intelligence (CHIA) within the Institute for Technology and Humanity (ITH) where PhD students will have access to both a large community of scholars and students tackling similar questions and to the active research events programme that constitutes a key part of CHIA’s work. The course addresses the broader need for experts equipped to develop more responsible and human-centred AI as academia, industry, government and non-profit sectors increasingly recruit AI specialists and is a logical next step for students moving through AI-related master’s programmes and wishing to specialise in human-inspired AI. The interdisciplinary nature of human-inspired AI means that the programme will involve working closely also with other units of the University, including co-supervision arrangements, access to research seminars, and access to facilities.
The PhD in Human-Inspired AI aims to equip students with the skills and knowledge to contribute critically and constructively to research in human-inspired AI. It introduces students from diverse backgrounds to research skills and specialist knowledge 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.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | Applicants for this course should have achieved a UK Masters (Pass). If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. Distinction or equivalent in a master’s level degree is normally required but in certain cases CHIA may consider other postgraduate work or qualifications alongside a strong honours degree in a relevant field. If you wish to apply to undertake a PhD on a part-time basis please refer to the admissions advice for potential part-time students. 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 their research. We advise students with limited experience in these areas to join the open day to assess course fit for their need. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
This exciting PhD in Human-Inspired Artificial Intelligence will train the next generation of AI researchers, technologists, and leaders in the development of human-centred, human-compatible, responsible and socially and globally beneficial AI technologies. The course offers research training in areas such as fundamental human-level AI, social and interactive AI, cognitive AI, creative AI, health and global AI, and responsible AI. Students will be educated in an interdisciplinary environment where they can get access to expertise not only in the technical but also human, ethical, applied and industrial aspects of AI.
This programme is distinct from other PhD programmes in that it takes a strongly interdisciplinary and cross-disciplinary approach to technical AI. It will be based at the Centre for Human-Inspired Artificial Intelligence (CHIA) within the Institute for Technology and Humanity (ITH) where PhD students will have access to both a large community of scholars and students tackling similar questions and to the active research events programme that constitutes a key part of CHIA’s work. The course addresses the broader need for experts equipped to develop more responsible and human-centred AI as academia, industry, government and non-profit sectors increasingly recruit AI specialists and is a logical next step for students moving through AI-related master’s programmes and wishing to specialise in human-inspired AI. The interdisciplinary nature of human-inspired AI means that the programme will involve working closely also with other units of the University, including co-supervision arrangements, access to research seminars, and access to facilities.
The PhD in Human-Inspired AI aims to equip students with the skills and knowledge to contribute critically and constructively to research in human-inspired AI. It introduces students from diverse backgrounds to research skills and specialist knowledge 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.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | Applicants for this course should have achieved a UK Masters (Pass). If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. Distinction or equivalent in a master’s level degree is normally required but in certain cases CHIA may consider other postgraduate work or qualifications alongside a strong honours degree in a relevant field. If you wish to apply to undertake a PhD on a part-time basis please refer to the admissions advice for potential part-time students. 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 their research. We advise students with limited experience in these areas to join the open day to assess course fit for their need. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
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.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| 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. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
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.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| 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. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
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.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| 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. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
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.
| Study type | Taught |
|---|---|
| Level | RQF Level 7 |
| 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. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |