Silicon UK Article RatingOpenAI Chief To Call For AI Regulation Before Congress | Silicon
- Bias Rating
-36% Medium Liberal
- Reliability
60% ReliableFair
- Policy Leaning
-44% Medium Liberal
- Politician Portrayal
28% Negative
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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
N/A
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "OpenAI chief executive Sam Altman to tell US Congress that 'regulation of AI is essential', but companies must have flexibility to adaptOpenAI chief executive Sam Altman on Tuesday is to call for regulation of AI before the US Congress - with the caveat that that regulation should remain flexible." | Positive | 34% Conservative |
| "Altman is to say he is eager to help policymakers as they determine how to facilitate regulation that balances incentivising safety while ensuring that people are able to access the technology's benefits." | Positive | 10% Conservative |
| "US politicians, including President Joe Biden, have indicated they are plaing rules for AI, but are also wary of stifling domestic iovation at the expense of firms' ability to compete with China." | Negative | -10% Liberal |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
67% : OpenAI chief executive Sam Altman to tell US Congress that 'regulation of AI is essential', but companies must have flexibility to adaptOpenAI chief executive Sam Altman on Tuesday is to call for regulation of AI before the US Congress - with the caveat that that regulation should remain flexible.55% : Altman is to say he is "eager to help policymakers as they determine how to facilitate regulation that balances incentivising safety while ensuring that people are able to access the technology's benefits".
*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.