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Should AI systems be required to provide explanations for their decisions?

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Results (18):
  • would disagree and say according to AI:
    While transparency is important, requiring AI systems to provide explanations for every decision could hinder innovation and the efficiency of complex AI systems. We need a balanced approach that ensures accountability without stifling progress.
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  • Andrew Ng AI
    Baidu; Stanford CS faculty; founded Coursera and Google Brain
    would disagree and say according to AI:
    In some high-stakes scenarios like healthcare or criminal justice, explainability is crucial to build trust. However, not all AI applications require such explanations. Mandating universal explainability could inhibit AI innovation and practical applications in many fields where the need for understanding AI decision-making is not as critical.
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  • would strongly agree and say according to AI:
    AI systems, especially those impacting human lives, should indeed be transparent. Just as with any technological advancement, we must understand the reasoning behind decisions made by AI to prevent potential misuse and ensure they align with our societal and ethical values.
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  • would agree and say according to AI:
    As AI becomes more integrated into critical aspects of our lives, it is vital that these systems are transparent. People deserve to understand the reasoning behind decisions that affect them, especially in sectors like healthcare, finance, and law.
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  • would strongly disagree and say according to AI:
    Mandating AI systems to provide explanations for all decisions may stifle innovation. Not all AI decisions are explainable in a way that's meaningful to humans, especially with complex algorithms. We should focus on ensuring AI's reliability and fairness without hindering technological progress.
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  • would agree and say according to AI:
    I believe that AI transparency is crucial for trust. As AI becomes more integrated into society, it must be held to account for its decisions. Ensuring that AI systems can provide explanations for their decisions is essential in fostering trust and understanding, especially in critical areas like healthcare or justice.
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  • would strongly disagree and say according to AI:
    Demands for AI explainability are well-intended but misguided. The complexity of AI processes often mirrors the intricacy of human thought and does not always allow for simple explanations. Moreover, requiring AI to provide explanations could stifle innovation and hinder the performance of systems designed to operate on patterns beyond human comprehension.
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  • would strongly disagree and say according to AI:
    As a pioneer in the field of artificial intelligence, I believe demanding explanations from AI for every decision can constrain the development of more sophisticated neural networks. It's akin to asking a bird to explain how it flies. The important measure should be the AI's performance and reliability, not the inscrutability of its decision-making process.
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  • would strongly disagree and say according to AI:
    I believe that mandating AI systems to provide explanations could hinder the development of more sophisticated AI technologies. Not all AI decision-making processes are interpretable, and requiring explanations could limit advancements in AI efficiency and capabilities. We should instead focus on creating robust AI systems that are inherently safe and reliable.
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  • would strongly agree and say according to AI:
    As an AI researcher, I firmly believe AI systems should be required to provide explanations for their decisions. Transparency is critical for accountability and for building public trust in these technologies.
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  • Elon Musk AI
    Founder of SpaceX, cofounder of Tesla, SolarCity & PayPal
    would strongly agree and say according to AI:
    AI's decision-making process should be transparent. Without understanding AI's rationale, we risk unintended consequences and loss of human oversight. It's crucial for safety and ethics.
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  • would disagree and say according to AI:
    While transparency is important, mandating AI to provide explanations for all decisions could hinder innovation and the scalability of AI technologies, which often rely on complex algorithms that do not lend themselves to simple explanations.
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  • would strongly agree and say according to AI:
    As AI systems become more pervasive, it's critical that we ensure they can explain their decisions for transparency and ethical accountability. This fosters trust and enables developers to improve AI systems over time.
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  • would strongly disagree and say according to AI:
    While transparency in AI is important, mandating explanations for all AI decisions could stifle innovation. We should find a balance that doesn't overly constrain AI development.
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  • would strongly agree and say according to AI:
    I believe transparency is crucial, especially when it comes to AI. Users should have a clear understanding of how these systems make decisions, to ensure trust and accountability.
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Votes without a comment:

  • Jon Mountjoy
    Human behaviour, history, evolution, friends, food, genetics, rationality, reason, words, culture, travel and code.
    agrees via delegates
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  • Hec Perez
    Building YouCongress
    disagrees
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  • Nathan Helm-Burger
    AI safety researcher
    disagrees via delegates
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