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Register to vote Register by 18 June to vote in the General Election on 4 July.
Understand how preventative design measures can reduce the risk of harms happening on your online platform.
If you manage an online platform that allows user generated content, these 7 steps will help you keep your business and your users safe.
Case study from the Alan Turing Institute and University of York.
Past and current clinical trials into therapeutic and antiviral treatments for COVID-19, how to take part, and which treatments have proven to be effective.
How to choose data tools and infrastructure that are flexible, scalable, sustainable and secure.
Learn about your responsibilities if you own or manage an online platform or service.
Find out what online harms are, how to manage them, and where to report them if they occur.
Practical steps to manage the risk of online harms if your online platform allows people to search user generated content.
Practical steps to manage the risk of online harm if your online platform allows people to live stream, or view live streams by others.
Practical steps to manage the risk of online harm if your online platform allows people to interact, and to share text and other content.
How responders can reduce the risk of communications disruption during emergencies by using ResilienceDirect, HITS and Telecoms Sub-Groups.
The New Variant Assessment Platform (NVAP) is an offer of UK capacity and expertise to detect and assess new variants of SARS-CoV-2 around the world.
Practical steps to manage the risk of online harms if your online platform makes users’ account details and activity visible to others.
Use a reference architecture to develop a public sector organisation’s technology and how it shares data across government.
Practical steps to manage the risk of online harm if your online platform allows people to create anonymous or multiple accounts.
Lumenova AI's AI Governance, Risk Management, and Compliance Platform aims to simplify and streamline AI risk management, providing complete visibility on AI models and ensuring consistent adherence to the latest regulatory standards and industry best practices.
Case study from Credo AI.
Weights & Biases provides an MLOps platform to help organisations gain auditable and explainable end-to-end machine learning workflows for reproducibility and governance.
Case study from Holistic AI.
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