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Integrated PhD in Accountable, Responsible and Transparent Artificial Intelligence

Integrated PhD in Accountable, Responsible and Transparent Artificial Intelligence

Key information
DATA SOURCE : IDP Connect

Qualification type

PhD/DPhil - Doctor of Philosophy

Subject areas

Artificial Intelligence (Ai) Accounting

Course type

Research

Course Summary

The integrated PhD in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI) at Bath will train you to be a "specialist with perspectives”. You'll not only gain AI skills, but a broader understanding of the engineering applications of AI and the ethical, policy and socio-economic consequences of intelligent technologies.

Key themes include:

  • transparency and intelligibility of AI
  • risk and decision making with AI
  • safety and trust in human-machine systems
  • policy-making with and for AI
  • innovation in data-driven and classical AI
  • engineering applications of AI

As part of your training, you'll work with a wide range of partners from companies, government and non-governmental organisations, and international universities to co-create research projects by identifying issues that matter to them. You'll also go on placement and benefit from experiencing different research environments and work on real problems, with operational data and challenging deadlines. You'll combine deep training in a specialism which builds on your background, capabilities and aims, with integrated training across the breadth of disciplines.

Different course options

Study mode

Full time

Duration

4 years

Start date

28-SEP-20

Modules

Humans and intelligent machines - Core
AI challenge - Core
Interdisciplinary research preparation - Core
Interdisciplinary thesis formulation report - Core
Statistics for data science - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£4,400

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£21,700

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students should have a first class or strong second class bachelor’s honours degree or international equivalent in computer science, engineering, social sciences, policy research, psychology, or a related subject. Normally, you will also need to have taken a mathematics course or a quantitative methods course at university or have at least grade B in A level maths or international equivalent. We welcome applications from UK and EU graduates. In exceptional circumstances, it may be possible to find funding for excellent students from outside the EU.