To protect children, we need to fill these gaps in AI policy
- Bias Rating
-10% Center
- Reliability
45% ReliableFair
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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% : Next is to approve the Stop Non-Consensual Distribution of Intimate Deepfake Media Act.54% : Every existing law applies to AI like it does to its offline corollaries.
47% : GOP LAWMAKERS SOUND ALARM OVER AI USED TO SEXUALLY EXPLOIT CHILDRENThese holes in our laws could provide a dangerous haven for criminals, allowing them to hide behind the letter of the law while eviscerating its spirit.
37% : There is currently a gap in the law addressing such conduct that may allow bad actors to go free, and policymakers need to address it now to ensure the culprits can be appropriately held to account.
33% : OPINIONThese changes empower law enforcement to punish bad actors using AI for nefarious purposes.
25% : Unfortunately, the existing letter of the law is letting abusers escape the purposes of the law.
*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.