To keep on top of AI, focus on the points where it touches the outside world, writes Martin Chavez
- Bias Rating
- Reliability
15% ReliableLimited
- Policy Leaning
6% Center
- 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
15% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
60% : Policymakers and regulators must shift their attention to the interfaces through which AI systems and agents connect with critical infrastructure, financial markets, health care and other sensitive domains.53% : In "Genesis", a book published last year, Henry Kissinger, Craig Mundie and Eric Schmidt proposed developing an "AI Book of Laws", informed by legal precedents, jurisprudence, scholarly commentary and human norms, and made the case for encoding the concept of human dignity into AI systems to ensure they operate according to ethical principles.
45% : Standards must sit on a continuum to meet the complexity and risk of AI systems.
39% : Over-regulation remains a big concern -- but the inconsistent approach America has taken thus far has only served as an obstacle for developers and users alike, slowing down creation with incompatible state-by-state rules.
*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.
