'AI must be accessible to all': UN chief Guterres calls for $3 billion global fund on AI
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-40% Somewhat Left
- 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.
Log In
Log in to your account to see the in-depth bias analytics and more.
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
40% 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:
59% : While addressing the India AI Impact Summit 2026 at the Bharat Mandapam in New Delhi, United Nations Secretary-General Antonio Guterres today congratulated India for its leadership in organising the first AI summit in the Global South.58% : The meeting in India has special meaning," said the UN Secretary General.
53% : Build AI for everyone with dignity, says UN chief Emphasising on building AI for everyone with dignity as the default setting, the UN chief said, "Real impact means technology that improves lives and protects the planet."
50% : On AI's potential for bettering humanity, Guterres said AI can advance the UN overarching Sustainable Development Goals, accelerate medical breakthroughs, strengthen food security, bolster climate action and disaster preparedness, improve access to vital public services, and expand education.
*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.
