The Ada Lovelace Institute blog presents ideas, arguments, strategies and practical examples that challenge how we think about data-intensive technologies, foster debate around them and orient us towards a society in which the harm that data and AI can bring are prevented, and the benefits are justly and equitably distributed.
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Explore the Ada blog
1–12 of 118
Reading Ada Lovelace’s legacy through the lenses of craft, art, society and culture.
Changing the culture on AI-driven harms through Stanford University’s Ethics and Society Review
Ada’s Director Carly Kind reflects on the last year and looks ahead to 2023
- AI and data ethics
- AI policy
- Algorithm impact assessment
- Biometric technologies
- Biometrics regulation
- Contact tracing
- Data governance
- Data regulation
- Digital vaccine passports
- Enabling a responsible AI ecosystem
- Ethics and accountability in practice
- Facial recognition technology
- Health data
- Health data and COVID-19 tech
- Health technology
- JUST AI
- Public attitudes
- Public-sector use of data & algorithms
- Recommendation systems
- The future of regulation
Can an individualised data technology work in a public health context?
A theoretical lens to understand digital policy developments
Five preconditions to protecting people from data-driven collective harms
Exploring how power asymmetries operate across the law and collective harms
To what extent are the GDPR's data rights an effective tool for enabling collective action?
The role of data-driven adaptation technologies in the climate crisis
Will the developing EU liability framework for regulating AI prove sufficient?
What are the precedents, arguments and future prospects for legislation at city to state level?
A partnership with the Health Foundation to study the relationships between data-driven systems and inequalities in health