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University of Oxford Department of Computer Science
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Human Centred Computing

In the age of AI, computational systems are becoming deeply integrated into the fabric of people’s lives. The Human Centred Computing theme at the University of Oxford conducts research to examine the impacts that contemporary computing systems have on individuals, communities and societies, and to identify ways that these innovations can be ethical and better support human flourishing. We seek to understand the implications of emerging advancements in technology on both micro and macro scales, and highlight opportunities, challenges and risks in innovation.

We use a range of research methods and our findings promote various forms of positive impact, such as: fostering responsibility in the design, building, implementation and evaluation of new forms of computer systems; education and engagement; and frameworks for policy and governance. Our work is committed to the support of human autonomy and wellbeing, the promotion of human values, and the protection the natural environment. Under this broad remit we focus on several key themes and topic areas. These include:

  • Ethical AI: transparency, regulation and accountability of algorithms in data-driven systems
  • Responsible Innovation: governance and guidelines for the development of quantum computing, social robotics, ethical training for computational researchers and professionals
  • User empowerment: age appropriate design, design and protection for children and other vulnerable citizens
  • Ethical data architectures: autonomy and democracy of information sharing and access
  • Digital well-being: privacy and security, attention economy, self-regulation
All Activities

Activities

Responsible Research and Innovation How can we integrate ethical and societal considerations into the pro...

Read more about Responsible Research and Innovation

Security and safety The rapid pace and broad scope of contemporary innovation can affect ...

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All Projects

Projects

All Publications

Publications

Navigating the Data Avalanche: Towards Supporting Developers in Developing Privacy−Friendly Children’s Apps

Read more about Navigating the Data Avalanche: Towards Supporting Developers in Developing Privacy−Friendly Children’s Apps

"You are you and the app. There’s nobody else.": Building Worker−Designed Data Institutions within Platform Hegemony

Read more about "You are you and the app. There’s nobody else.": Building Worker−Designed Data Institutions within Platform Hegemony

Data Protection at a Discount: Investigating the UX of Data Protection from User‚ Designer‚ and Business Leader Perspectives

Read more about Data Protection at a Discount: Investigating the UX of Data Protection from User‚ Designer‚ and Business Leader Perspectives

"It’s Freedom to Put Things Where My Mind Wants": Understanding and Improving the User Experience of Structuring Data in Spreadsheets

Read more about "It’s Freedom to Put Things Where My Mind Wants": Understanding and Improving the User Experience of Structuring Data in Spreadsheets

Responsible innovation; responsible data. A case study in autonomous driving

Read more about Responsible innovation; responsible data. A case study in autonomous driving

From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions

Read more about From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions

Explanations in Autonomous Driving: A Survey

Read more about Explanations in Autonomous Driving: A Survey

"It did not give me an option to decline": A Longitudinal Analysis of the User Experience of Security and Privacy in Smart Home Products

Read more about "It did not give me an option to decline": A Longitudinal Analysis of the User Experience of Security and Privacy in Smart Home Products

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