SC Media Article Rating

UN resolution on AI encourages measures against malicious use

  • Bias Rating

    -22% Somewhat Liberal

  • Reliability

    70% ReliableGood

  • Policy Leaning

    -22% Somewhat Liberal

  • Politician Portrayal

    N/A

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

Overall Sentiment

55% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

60% : "We expect [the resolution] will open up the dialogue between the United Nations, civil society, academia and research institutions, the public and private sector, and other communities for collaboration; facilitating continuous innovation and building capacity to close digital divides," Thomas-Greenfield said.
52% : AI-generated content, such as deepfakes, holds the potential to undercut the integrity of political debates [...]
52% : But AI also holds profound, universal opportunities to accelerate our work to end poverty, save lives, protect our planet, and create a safer, more equitable world," U.S. Ambassador to the UN Linda Thomas-Greenfield stated when introducing the resolution.
46% : The non-binding resolution was led by the United States, co-sponsored by more than 120 other members states and adopted by consensus.

*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.

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