Welsh Government funds public service AI projects | UKAuthority
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-8% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
29% Positive
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
54% : The projects will cover: * developing an up-to-date baseline understanding of AI related activities across Welsh public services; * undertaking an evaluation of the AI scribe tools currently being used across parts of the public sector, in areas such as social care assessments, to help inform future investment and deployments; * deploying a platform available for the public sector to test and use AI tools, along with an AI enabled content design tool; * developing a proof of concept on the feasibility of a chatbot assistant for the Welsh Government's new StatsWales service; * developing guidance for local authorities and others on the deployment of AI into their services; * delivering training on AI for public sector workers; * and continuing to work with the UK Government on its AI enabled Humphrey toolset "Humphrey" to assess how it can used in Wales.*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.