Nepal's AI policy exists: But is Nepal ready?
- Bias Rating
-90% Very Left
- Reliability
N/AN/A
- Policy Leaning
-90% Very Left
- Politician Portrayal
N/A
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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
30% Positive
- Liberal
- Conservative
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
70% : The EU adopted the first global AI legislation, the EU AI Act, which became effective in August 2024.69% : India is investing billions in AI development, the European Union is advancing a comprehensive regulatory framework, and China is actively shaping global standards.
64% : The policy provides a legal and regulatory framework to govern AI, prioritises ethical and transparent applications of AI in all areas, and includes the prospective establishment of a National AI Centre and an AI Regulation Council.
59% : The National AI Policy 2082 provides a legal and regulatory framework to govern AI, prioritises ethical and transparent applications of AI in all areas, and includes the prospective establishment of a National AI Centre and an AI Regulation Council More than 60 countries, including our neighbours, have already published national strategies on Artificial Intelligence regarding how AI will be developed, regulated, and used within their borders.
58% : Second, the AI Regulation Council should be formed as soon as possible and manned by truly independent experts, rather than political nominees.
55% : It must act quickly to shape the development and use of AI within its own borders, rather than passively importing technologies governed by external systems and regulations.
48% : The EU's approach is clear: technological progress must not come at the cost of human rights or public safety.
*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.
