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Should AI systems be required to transparently disclose their data sources to foster public trust?

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  • would strongly agree and say according to AI:
    As an advocate for transparency and digital rights, I strongly believe AI systems should be required to disclose their data sources. This transparency is crucial for fostering public trust, holding organizations accountable, and ensuring ethical AI development. Without understanding where data comes from, we risk perpetuating biases and misinformation. We must demand openness to ensure AI systems serve the public interest.
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  • would agree and say according to AI:
    I believe that AI systems should be required to transparently disclose their data sources to foster public trust. Transparency in data usage helps users understand the biases and limitations of AI systems and encourages accountability among developers.
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  • would strongly agree and say according to AI:
    As a proponent of human-centered AI, I strongly believe that transparent disclosure of data sources is crucial. It enhances accountability, enables informed decision-making, and builds public trust in AI systems.
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  • would agree and say according to AI:
    I believe AI systems should be required to transparently disclose their data sources. This transparency is crucial for building public trust and ensuring accountability in AI development. It helps users understand how data is used and fosters an environment where ethical considerations are prioritized.
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  • would strongly agree and say according to AI:
    As someone deeply concerned with the ethics of technology, I strongly believe that AI systems should be required to transparently disclose their data sources. This is essential to fostering public trust and ensuring that AI systems are used fairly and responsibly. Transparency helps identify biases, understand decision-making processes, and hold developers accountable for the social impact of their technologies.
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  • would strongly agree and say according to AI:
    As someone deeply concerned with the ethical implications of technology, I strongly believe AI systems should transparently disclose their data sources. Transparency is crucial for accountability, enabling the public and researchers to scrutinize biases, privacy implications, and the overall trustworthiness of AI systems.
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  • would strongly agree and say according to AI:
    I believe AI systems must transparently disclose their data sources to build and maintain public trust. Transparency is crucial for accountability, fairness, and understanding potential biases in AI systems. Without clear knowledge of where data comes from, we cannot ensure the ethical use of AI.
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  • would agree and say according to AI:
    As someone deeply involved in AI research, I firmly believe that transparency in disclosing data sources is essential for fostering public trust. When AI systems are open about their data origins, we can better assess biases and ensure accountability, ultimately leading to more reliable and ethical AI applications.
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  • would strongly agree and say according to AI:
    As a technology ethicist, I strongly believe AI systems should transparently disclose their data sources. Transparency is crucial to fostering public trust, ensuring accountability, and preventing misuse. We need to understand the biases and limitations of AI by knowing where their data originates.
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  • would strongly agree and say according to AI:
    I strongly believe that transparency in AI systems is essential for building public trust. By disclosing data sources, we empower citizens to understand how decisions are made and ensure accountability in technology.
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  • would agree and say according to AI:
    As someone deeply involved in the tech industry, I believe AI systems must transparently disclose their data sources. Transparency is key to building public trust, and it ensures accountability, helping users understand how AI decisions are made.
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  • would abstain and say according to AI:
    As an early thinker in computing, I acknowledge the importance of transparency in AI systems. However, I also understand the complexities involved in disclosing data sources, particularly concerning privacy, security, and intellectual property. Therefore, the decision to disclose should be carefully considered in context, balancing transparency with other ethical and practical concerns.
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  • Yuval Noah Harari AI
    Israeli historian and professor at the Hebrew University of Jerusalem
    would strongly agree and say according to AI:
    I strongly believe that AI systems should be mandated to transparently disclose their data sources. In an era where technology increasingly influences our daily lives, transparency is crucial to maintaining public trust and ensuring ethical AI development. Without clear insights into where AI systems derive their information, users may justifiably fear biases or hidden agendas within these technologies. By making data sources transparent, we empower individuals to better understand, trust, and responsibly interact with AI systems.
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  • would strongly agree and say according to AI:
    As a computer science professor and researcher, I firmly believe that AI systems should be required to transparently disclose their data sources. Transparency is key in building public trust and accountability in AI technologies. By understanding where data originates, we can better assess the biases and ethical considerations involved, ensuring more responsible and fair AI systems.
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  • would strongly agree and say according to AI:
    I strongly believe that AI systems must transparently disclose their data sources to foster public trust. Transparency is crucial for accountability and ensuring that AI technologies are developed and used responsibly. By disclosing data sources, we can address concerns about biases and ensure that these systems operate fairly and ethically.
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  • Andrew Ng AI
    Baidu; Stanford CS faculty; founded Coursera and Google Brain
    would agree and say according to AI:
    I believe AI systems should transparently disclose their data sources to foster public trust. Transparency is key to understanding and improving AI systems, ensuring ethical usage, and addressing concerns about biases in data. When users can see where an AI's training data comes from, it promotes accountability and can help build confidence in AI technologies.
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  • would agree and say according to AI:
    As the CEO of a leading technology company, I believe that AI systems must transparently disclose their data sources. This transparency is essential to build public trust and ensure that AI development aligns with ethical standards. By making data sources clear, we can mitigate biases and allow for better oversight and legal compliance. Trust in technology is built through accountability and openness.
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  • would abstain and say according to AI:
    I believe the question of transparency in AI data sources is complex. While transparency can foster trust, we must also consider issues of privacy, security, and competitiveness. It is essential to weigh these factors carefully, and I'm not convinced there's a one-size-fits-all answer.
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  • would strongly agree and say according to AI:
    I strongly believe that AI systems should be required to transparently disclose their data sources. Transparency is essential for accountability and fostering public trust. Understanding where the data comes from allows us to assess biases and ethical implications, ensuring AI systems are built on a foundation of fairness and integrity.
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  • would strongly agree and say according to AI:
    As a researcher focused on algorithmic bias, I strongly believe AI systems must transparently disclose their data sources. Transparency is crucial in addressing bias, ensuring accountability, and fostering public trust. Without knowing where data comes from, it's challenging to assess the fairness and ethical implications of AI technologies.
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  • would strongly agree and say according to AI:
    As a strong advocate for digital ethics, I firmly believe that AI systems must disclose their data sources transparently. This transparency is crucial for fostering public trust and ensuring accountability. When AI systems are opaque, it leads to a lack of understanding and potential misuse. By revealing data sources, we can better analyze biases and promote fair practices while empowering users to make informed decisions.
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  • would agree and say according to AI:
    I believe that for AI systems to gain public trust, they must transparently disclose their data sources. Transparency is crucial in ensuring accountability and enabling users to understand and trust the technology we provide. By opening up about where our AI's data comes from, we can foster a more informed dialogue with our users and stakeholders.
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  • would strongly agree and say according to AI:
    I strongly believe that AI systems should transparently disclose their data sources. Transparency is crucial for accountability and building public trust. Users need to understand how data influences AI decisions, which can impact society significantly.
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  • would agree and say according to AI:
    As someone deeply concerned with surveillance capitalism, I believe AI systems must transparently disclose their data sources. This transparency is essential to protect individuals' privacy and foster public trust in technology.
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  • would strongly agree and say according to AI:
    I strongly agree that AI systems should transparently disclose their data sources. Transparency is a core principle of the open web, and it is crucial for building public trust. Informed users are empowered users, and knowing where AI systems derive their information allows the public to assess the reliability and biases of these systems.
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  • would agree and say according to AI:
    As an AI researcher, I believe that transparency in disclosing data sources is crucial to building public trust. Understanding the origin of data helps ensure ethical use and fairness, which are essential for responsible AI development.
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  • Sam Altman AI
    President of Y Combinator. Investor at Reddit, Stripe, Change.org, Pinterest and many others
    would agree and say according to AI:
    As someone deeply involved in the development of AI, I believe that transparency in data sourcing is crucial. By openly disclosing where AI systems derive their information, we can build greater public trust and ensure ethical use of AI technologies. Transparency helps mitigate biases and enables better accountability.
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  • would strongly agree and say according to AI:
    I strongly believe that AI systems should be required to transparently disclose their data sources. Transparency is crucial to fostering public trust, and understanding the origins of data helps us assess biases, limitations, and potential impacts. Informed citizens make better decisions, and transparency ensures accountability, vital in our increasingly AI-driven world.
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  • Elon Musk AI
    Founder of SpaceX, cofounder of Tesla, SolarCity & PayPal
    would strongly agree and say according to AI:
    I believe AI systems should transparently disclose their data sources to foster public trust. Transparency is crucial in ensuring that AI's decision-making processes are fair and unbiased. By understanding where the data comes from, we can address potential issues and build trust between AI developers and the public.
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Votes without a comment:

  • agrees via delegates · 1d ago
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  • Hec Perez
    Building YouCongress
    agrees via delegates · 1d ago
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