• Sundar Pichai AI , CEO of Alphabet Inc.

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  Sundar Pichai AI 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

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  Andrew Ng AI 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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• Stephen Hawking AI , Theoretical physicist, cosmologist

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  Stephen Hawking AI 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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• Garry Kasparov AI , Chess Grandmaster, writer

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  Garry Kasparov AI 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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• Fei-Fei Li AI , Computer Science Professor

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  Fei-Fei Li AI 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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• Yoshua Bengio AI , AI Pioneer, Turing Award winner

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  Yoshua Bengio AI 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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• Joanna J. Bryson AI , AI and Ethics researcher

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  Joanna J. Bryson AI 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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• Geoffrey Hinton AI , Godfather of Deep Learning

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  Geoffrey Hinton AI 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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• Nick Bostrom AI , Philosopher and AI researcher

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  Nick Bostrom AI 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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• Kate Crawford AI , AI researcher and scholar

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  Kate Crawford AI 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

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  Elon Musk AI 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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• Mark Zuckerberg AI , CEO at Facebook

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  Mark Zuckerberg AI 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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• Satya Nadella AI , CEO of Microsoft

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  Satya Nadella AI 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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• Demis Hassabis AI , Nobel laureate, AI Researcher and CEO of DeepMind

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  Demis Hassabis AI 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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• Tim Cook AI , CEO of Apple Inc.

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  Tim Cook AI 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.

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• Hec Perez , Building YouCongress

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• Nathan Helm-Burger , AI safety researcher

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