Mhairi Aitken

Orcid: 0000-0002-4654-9803

According to our database1, Mhairi Aitken authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow.
CoRR, 2024

AI Ethics and Governance in Practice: An Introduction.
CoRR, 2024

AI Fairness in Practice.
CoRR, 2024

AI Sustainability in Practice Part One: Foundations for Sustainable AI Projects.
CoRR, 2024

Mapping the individual, social and biospheric impacts of Foundation Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022
Data Justice in Practice: A Guide for Developers.
CoRR, 2022

In Private, Secure, Conversational FinBots We Trust.
CoRR, 2022

Data Justice Stories: A Repository of Case Studies.
CoRR, 2022

Advancing Data Justice Research and Practice: An Integrated Literature Review.
CoRR, 2022

Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal.
CoRR, 2022

2021
Artificial intelligence, human rights, democracy, and the rule of law: a primer.
CoRR, 2021

2020
Establishing a social licence for Financial Technology: Reflections on the role of the private sector in pursuing ethical data practices.
Big Data Soc., January, 2020

Public preferences regarding data linkage for research: a discrete choice experiment comparing Scotland and Sweden.
BMC Medical Informatics Decis. Mak., 2020

Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context.
CoRR, 2020

The relationship between trust in AI and trustworthy machine learning technologies.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Simulating the Effects of Social Presence on Trust, Privacy Concerns & Usage Intentions in Automated Bots for Finance.
Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2020

Keeping it Human: A Focus Group Study of Public Attitudes Towards AI in Banking.
Proceedings of the Computer Security - ESORICS 2020 International Workshops, 2020

2018
Who benefits and how? Public expectations of public benefits from data-intensive health research.
Big Data Soc., July, 2018


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