AI Has A Sustainability Problem: How To Tackle It's Carbon Footprint
- Bias Rating
- Reliability
100% ReliableExcellent
- Policy Leaning
26% Somewhat Right
- 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
24% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
64% : With AI, an epicenter of energy consumption will be one of the sectors most dedicated to sustainability: the tech industry," Saleh explains.63% : In fifty years, we'll likely be talking about nuclear as the backbone of sustainable energy.
60% : "AI's energy requirements will require that tech companies launch energy solutions to help reduce their consumption.
60% : Meanwhile, other industry players are investing heavily in renewable energy sources to power their data centers.
55% : " The future of AI hinges on innovation as much as companies' commitment to sustainable growth strategies and responsible technology deployment.
41% : For example, London's notorious smog in the 19th century stemmed from coal combustion that powered the rise of the British Empire itself, while leaving a dark mark on public health and the environment.
*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.