Вештачка интелигенција

The Dark Side of Artificial Intelligence: Balancing Transparency and Regulation

Summary

Today’s world is increasingly dependent on artificial intelligence (AI), but as technology advances, so does the need for proper regulations to control it. However, many political leaders lack the knowledge about AI to develop the necessary policies. Even technologists raise […]

The Dark Side of Artificial Intelligence: Balancing Transparency and Regulation

Today’s world is increasingly dependent on artificial intelligence (AI), but as technology advances, so does the need for proper regulations to control it. However, many political leaders lack the knowledge about AI to develop the necessary policies. Even technologists raise serious questions about the ethical and safety behavior of large language models (LLMs). Instead of prioritizing transparency, AI companies protect data and algorithmic settings as copyrighted information.

The recently published Foundation Model Transparency Index, developed by the Stanford University Institute for Artificial Intelligence, reveals how little we know about LLMs. This index assesses the accessibility of data, security measures, and safety testing of each model. Meta’s LLM Llama 2, which received a score of only 54 out of 100, is among the highest-rated models. The lack of transparency makes it challenging to assess foundational models for bias or security threats, leaving regulators and the public unaware of the risks associated with these technologies.

In addition, corporate leaders have a significant influence on politicians’ perception of technology, which can result in ill-considered decisions. To understand AI technology and its business model, we need transparent standards and data access for researchers. Proper regulations depend on a better understanding of AI technology and its business models. Only then can we mitigate the risks posed by AI and ensure accountability for companies that use it. Transparency is key to addressing the problems that AI can bring, from unfair practices on the internet to misinformation on social media. Policies relevant to technological advancements rely on a deeper understanding of this technology and the accompanying business models.

Frequently Asked Questions (FAQ)

  1. How does the lack of transparency affect the understanding of artificial intelligence?

    The lack of transparency makes it challenging to assess foundational models of artificial intelligence, preventing the identification of bias or security threats. Regulators and the public remain unaware of the risks associated with these technologies.

  2. Why is transparency important for successful artificial intelligence?

    Transparency is crucial for addressing the problems that artificial intelligence can bring, including unfair practices on the internet and misinformation on social media. Without transparency, it is impossible to hold companies using artificial intelligence accountable.

  3. Who influences politicians’ perception of artificial intelligence?

    Corporate leaders have a significant influence on politicians’ perception of artificial intelligence, which can result in ill-considered decisions.

  4. What should proper regulations for artificial intelligence look like?

    Proper regulations depend on a better understanding of artificial intelligence technology and the business models accompanying it. Transparency, data access for researchers, and the establishment of standards are key elements of these regulations.

  5. How can we mitigate the risks associated with artificial intelligence?

    Establishing transparency, ensuring accountability for companies using artificial intelligence, and improving understanding of the technology and its business models are necessary steps to mitigate the risks associated with artificial intelligence.

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