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Tackling health and social inequalities in data-driven systems
The event follows a three-year long programme of research, conducted in partnership with The Health Foundation.
Access denied?
Socioeconomic inequalities in digital health services
AI assurance?
Assessing and mitigating risks across the AI lifecycle
The data of the most vulnerable people is the least protected
How has biometric data collection caused harm in the context of humanitarian interventions and where do future risks lie?
Pandemic preparedness and public health in the algorithmic age
Lessons from the App Store: Insights and learnings from COVID-19 technologies
Majority of British public support ‘laws and regulations’ to guide the use of AI, according to a new nationwide survey
More than 60% of the British public support ‘laws and regulations’ to guide the use of AI, according to a new national survey.
Private-sector data for public good: modelling data access mandates
This project aims to model the legal backbone necessary for enabling access to data mandates in practice.
Inform, educate, entertain… and recommend?
Exploring the use and ethics of recommendation systems in public service media
Supporting AI research ethics committees
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research.
Looking before we leap?
Ethical review processes for AI and data science research
Understanding AI research ethics as a collective problem
Changing the culture on AI-driven harms through Stanford University’s Ethics and Society Review
The Ada Lovelace Institute in 2022
Ada’s Director Carly Kind reflects on the last year and looks ahead to 2023