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 127
What are the consequences of new forms of data-driven methods for health outcomes?
What we can learn from missing evidence on digital contact tracing and vaccine passports?
What can we learn from policy successes and failures, to ensure frontier AI regulations are effective in practice?
Reaching consensus at the AI Safety Summit will not be easy – so what can the Government do to improve its chances of success?
How has biometric data collection caused harm in the context of humanitarian interventions and where do future risks lie?
Will the proposed regulatory framework for artificial intelligence enable benefits and protect people from harm?
Why standards are at the centre of AI regulation conversations and the challenges they raise
What narratives have framed pandemic-related technologies and who do they leave out?
A closer look at the implications of API and open-source accessible GPAI for the EU AI Act
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