AI REVOLUTION: The slow adoption of artificial intelligence
- Bias Rating
- Reliability
15% ReliableLimited
- Policy Leaning
-58% Medium Left
- Politician Portrayal
N/A
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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
4% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
67% : Government regulations and policies, or the absence thereof, play a critical role in shaping AI adoption trends. Countries with clear regulatory frameworks tend to witness faster AI integration in both public and private sectors.61% : Investments in AI research and development are concentrated in a few global tech hubs, leaving other regions behind.
59% : Technological experts note that AI has the potential to transform industries ranging from healthcare to agriculture.
54% : Concerns about job displacement and ethical considerations make organisations hesitant to rely fully on AI. Industries such as finance and healthcare are gradually implementing AI to improve efficiency and accuracy.
54% : Governments and private stakeholders are increasingly recognising the strategic importance of AI. Investment in AI infrastructure and talent development is crucial to keep pace with global technological trends.
44% : Concerns over cost, regulation, expertise, and ethics continue to influence organisational decisions.
40% : Collaborations between governments, academic institutions, and industry players are seen as vital to accelerate adoption.
*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.