OpenAI CEO Sam Altman testifies in 'historic' Senate hearing on AI safety
- Bias Rating
12% Somewhat Conservative
- Reliability
50% ReliableFair
- Policy Leaning
-8% Center
- Politician Portrayal
14% 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:
58% : The Senate judiciary subcommittee session represented Altman's first official appearance before Congress, giving senators the opportunity to question the OpenAI CEO concerning his company's views on regulation.55% : This included support for privacy protections, greater government oversight, third-party auditing, and how soon the U.S. government should seek to regulate the industry (immediately).
48% : Gary Marcus, a signatory of the pause letter, admitted he agreed more to the spirit of the letter than its contents, but urged Congress to consider global oversight as well as federal regulation -- a sentiment Altman agreed with.
37% : Dubbed a "historic" session by Illinois Senator Dick Durbin, the proceedings focused on understanding the potential threats posed by generative AI models such as ChatGPT and how lawmakers should approach regulation.
37% : Her statements indicate that IBM is in favor of a surgical approach to regulation using currently existing regulatory bodies to focus enforcement on specific use cases.
*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.