IMF's Gopinath: We lack the 'luxury of time' with A.I.
- Bias Rating
30% Somewhat Conservative
- Reliability
95% ReliableExcellent
- Policy Leaning
6% Center
- Politician Portrayal
8% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
- Conservative
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:
47% : "We need governments, we need institutions and we need policymakers to move quickly on all fronts, in terms of regulation, but also in terms of preparing for probably substantial disruptions in labor markets," she added.46% : Separately on Monday, Gopinath warned that A.I. could "be as disruptive as the Industrial Revolution was in Adam Smith's time," referring to the 18th-century economist whose ideas on free markets and labor shaped modern economics.
*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.