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Computer Weekly Article Rating

How the UAE is using AI to transform healthcare | Computer Weekly

  • Bias Rating
  • Reliability

    75% ReliableGood

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    N/A

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

Overall Sentiment

16% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

Contributing sentiments towards policy:

59% : "Each sector had common fears about AI, so my approach was to meet them with empathy," she said.
58% : Few sectors demonstrate the urgency and potential of this approach more clearly than healthcare.
58% : " This focus on leadership is critical, especially in healthcare, where AI applications are both promising and sensitive.
56% : For healthcare, that means AI isn't just another tool in the IT department; it's a core part of the national strategy.
55% : The UAE's decision to appoint AI leaders in every ministry signals a shift - in healthcare, success is measured not only in cost savings, but in efficiency, sustainability, and better patient outcomes When the UAE appointed the world's first minister of artificial intelligence (AI) in 2017, it signalled that AI was going to be more than just another technology trend.
54% : Ministries and regulators are focusing on how AI aligns with their core missions - and in healthcare, that means asking tough questions about data, trust, and impact, before moving ahead.
49% : Education is empowerment and consistency across government organisations ensures that AI is not just a technical initiative, but a leadership mandate.

*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.

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