Gezertenplatz Factor and the AI Industry Consortium

Chat Bots

Introduction

This all started as a chat session to test the “Is there anything you would add?” Swiss Army Prompt. However, after getting into it, things took off on another track all together.

Here’s the beginning, middle, and end of the chat.

Gezertenplatz Factor

Prompt: I would like to have an exchange on the topic of the “Gezertenplatz Factor”. Let me explain what I am meaning by the phrase: “Gezertenplatz Factor”.

Bob Newhart tells a humorous story along the lines of:

“His employer has an infinite number of monkeys typing away on an infinite number of typewriters with the understanding that eventually the monkeys would type all the great works of fiction. Bob’s job was to monitor monkey 14 to see how it was doing. One day he looked at a page from monkey 14 and got very excited. Bob ran to his boss declaring: “I’ve think we’ve got something here boss. Monkey 14 has typed this: To be or not to be that is the Gezertenplatz.”

Because of this story we have adopted the word “gezertenplatz” and the phrase “Gezertenplatz Factor” to refer to the need for a user that is making use of ChatGPT and other AI Language Models to apply due diligence and inspect the output from the AI and fact check if necessary, and rewrite where needed.”

ChatGPT4: Thank you for providing the context and explanation for the term “Gezertenplatz Factor.” It’s a creative and engaging way to remind users of AI language models, such as ChatGPT, about the importance of exercising due diligence when reviewing the output of these models.

AI language models have significantly improved in recent years, but they are not infallible. They can sometimes generate text that is inaccurate, nonsensical, or even inappropriate. The “Gezertenplatz Factor” serves as a reminder that users should be critical of the AI-generated content and not take it at face value.

To effectively mitigate the risks associated with the “Gezertenplatz Factor,” users should:

  1. Fact-check information: Users should verify the information provided by AI models, especially when the output is intended for critical decision-making or public dissemination.
  2. Contextualize the output: AI models may occasionally provide information that is correct but not relevant to the user’s query. Users should ensure that the output aligns with the context of their inquiry.
  3. Revise and edit the content: As with any writing, AI-generated text may need to be revised and edited to ensure clarity, coherence, and appropriate tone.

The “Gezertenplatz Factor” highlights the importance of the human-AI collaboration, where AI language models can help automate and streamline content generation, while users remain responsible for ensuring that the final output is accurate, relevant, and well-presented.

Human-AI Collaboration

Prompt: That is very well stated. I like the concept of viewing the relationship between the human and the AI as a collaboration in which each has talents and responsibilities.

ChatGPT4: Thank you for your feedback! I’m glad you appreciate the concept of human-AI collaboration. Indeed, when humans and AI work together, they can complement each other’s strengths and weaknesses, leading to more effective outcomes.

AI language models, like ChatGPT, can be valuable tools for generating ideas, providing information, or assisting with content creation. However, they are not a substitute for human judgment, creativity, and critical thinking. By combining the AI’s capabilities with human expertise, we can create a synergistic partnership that improves efficiency and quality in various tasks.

In this collaborative relationship, AI models can handle large-scale information processing and offer suggestions or drafts, while humans can bring their unique understanding of context, nuance, and emotions. Humans can also ensure that AI-generated content is accurate, relevant, and in line with ethical standards.

Embracing the human-AI collaboration model can lead to better decision-making, enhanced creativity, and improved productivity across different domains, from writing and research to business and entertainment.

Prompt: Is there anything you would add?

ChatGPT4: In addition to what has already been discussed, I would like to emphasize the following points to further enhance human-AI collaboration:

  1. Continuous learning: As AI models continue to evolve, it is essential for users to stay updated on the latest advancements, features, and limitations. This knowledge will help users make better use of AI tools and understand their potential impact.
  2. Ethics and guidelines: Establishing a set of ethical guidelines for AI use can help ensure responsible human-AI collaboration. These guidelines should address issues such as data privacy, algorithmic bias, and content moderation to promote a safe and fair environment for users and the broader community.
  3. Communication and feedback: Open communication between AI developers and users is crucial for refining AI models and addressing concerns. By providing feedback on AI-generated content, users can help improve the system’s performance and contribute to the ongoing development of AI technology.
  4. Customization and personalization: Tailoring AI tools to suit individual users’ needs can enhance the collaborative experience. By adapting to users’ preferences, knowledge domains, and language styles, AI models can become more effective and relevant partners.

In summary, fostering a productive human-AI collaboration requires an ongoing commitment to learning, ethical considerations, open communication, and customization. By embracing these principles, we can unlock the full potential of AI technology and enhance the quality and efficiency of various tasks.

The Notion of AI Industry Guidelines

Prompt: This suggests that perhaps there should be a set of industry guidelines for AI developers. These guidelines should be agreed upon and implemented by AI developers are a form of self-regulation. For example your point number 3 about Communication and feedback. This suggests having a guideline that requires an AI development team have some sort of mechanism which opens the way for users input.

ChatGPT4: Absolutely, the development of industry guidelines for AI developers can play a significant role in promoting responsible AI use and self-regulation. These guidelines can help ensure that AI systems are transparent, accountable, and user-centric. Here are some key principles that could be part of these industry guidelines:

  1. Transparency: AI developers should clearly communicate the capabilities, limitations, and intended use cases of their systems to users. This can involve providing accessible documentation, technical specifications, and explanations of how the AI works and makes decisions.
  2. Accountability: Developers should take responsibility for the performance and behavior of their AI systems. This includes having mechanisms in place to address and resolve any issues or concerns that may arise from AI use.
  3. User-centric design: AI systems should be designed with user needs and preferences in mind. Developers should engage with users to understand their requirements and collect feedback to improve the AI system continuously.
  4. Feedback channels: Developers should establish accessible communication channels for users to report concerns, provide feedback, and ask questions. This can help foster a collaborative environment where developers and users can work together to improve AI systems.
  5. Fairness and bias reduction: AI developers should actively work to reduce biases in their systems, ensuring that AI tools are fair and do not discriminate against any group of users. This includes addressing biases in training data, algorithms, and system outputs.
  6. Privacy and security: AI developers should prioritize user privacy and data security, implementing robust measures to protect user information and comply with relevant data protection regulations.
  7. Education and training: Developers should provide resources and training materials for users to learn how to effectively and ethically use AI systems, ensuring that users can make the most of the AI tools and understand their implications.

By adopting and adhering to these industry guidelines, AI developers can demonstrate a commitment to responsible AI development and use, fostering trust among users and the broader community. This self-regulation approach can help prevent potential harm and negative consequences while promoting innovation and the widespread adoption of AI technology.

The Notion of AI Industry Self-Regulation

Prompt: That is a good list of “shoulds”. Can you suggest any regulations that might be a starting point for a group of AI industry stake holders to address as concrete measurables.

Such as for point 6 maybe something like: “Each AI product released shall have a written privacy document detailing what if any user information is being stored and how it is being protected.” That is not very well written (spoiler alert: I am not a lawyer) but perhaps it will give you an idea of what I am asking for.

Can you suggest a potential regulation for each of the 7 items you listed above?

ChatGPT4: Certainly! Here are some examples of potential regulations for each of the seven items listed above. Please note that these are merely suggestions and may need to be refined or adapted according to specific industry needs and legal contexts.

Transparency:
“AI developers must provide comprehensive documentation, including a clear description of the AI system’s capabilities, limitations, and intended use cases, as well as a general explanation of the underlying algorithms and decision-making processes.”

  1. Accountability:
    “AI developers are required to establish a system for monitoring, addressing, and resolving any issues, concerns, or unintended consequences resulting from the use of their AI products, including potential harm to users or third parties.”
  2. User-centric design:
    “AI developers must engage with users during the design and development process to collect input and feedback, and ensure that AI systems are tailored to meet user needs, preferences, and accessibility requirements.”
  3. Feedback channels:
    “AI developers are required to create and maintain accessible communication channels for users to report concerns, provide feedback, and ask questions about the AI system, with a commitment to responding to inquiries within a specified time frame.”
  4. Fairness and bias reduction:
    “AI developers must conduct regular audits of their AI systems to identify and mitigate biases, ensuring that the AI does not discriminate against any user group. The audit process and results should be documented and made available to users or regulators upon request.”
  5. Privacy and security:
    “AI developers are required to create and publish a privacy policy that outlines the collection, storage, and protection of user data, as well as measures taken to comply with relevant data protection regulations. The policy should be easily accessible and written in clear, plain language.”
  6. Education and training:
    “AI developers must provide resources and training materials for users, including best practices for using the AI system ethically and effectively. These resources should be easily accessible and cater to different levels of user expertise.”

These potential regulations can serve as a starting point for AI industry stakeholders to develop a more comprehensive and legally sound set of guidelines. By implementing such measures, the AI industry can work towards ensuring responsible and ethical AI development and use.

The Notion of AI Industry Consortium

Prompt: It occurs to me that in order to effectively implement the above suggestions there will be a need to establish an AI Industry board or council, or conference. Some kind of organized body that is created by the AI Industry leaders and funded by mutual contribution. This body could then (for example) do the work of creating a protocol for measuring bias in AI systems. It would be an unfair burden on smaller developer teams if each team was responsible for developing their own protocol. This AI Conference could also establish tools and guidelines for each of the required areas.

ChatGPT4: You’re right, the establishment of an AI industry board, council, or conference can be an effective way to address the challenges and responsibilities outlined in the suggested regulations. Such an organized body, consisting of representatives from various AI companies, research institutions, and other stakeholders, can work collectively to create standardized guidelines, tools, and resources for the entire AI community. This collaborative approach can offer several benefits:

Shared knowledge and resources: By pooling expertise, knowledge, and financial resources, the AI industry body can develop shared protocols, tools, and guidelines that can be utilized by both large and small developer teams, thereby reducing the burden on individual organizations.

  1. Consistency and standardization: With a centralized body working on industry-wide guidelines, there is a higher likelihood of achieving consistency and standardization in areas such as bias measurement, privacy policies, and user-centric design practices.
  2. Inclusivity and diversity: By bringing together representatives from various organizations, backgrounds, and regions, the AI industry body can ensure that the guidelines and tools developed are inclusive, addressing the needs and concerns of a diverse range of stakeholders.
  3. External credibility and trust: An industry-led body can provide a sense of credibility, trust, and transparency for users, regulators, and other external stakeholders, demonstrating a commitment to responsible AI development and use.
  4. Adaptability and future-proofing: As AI technology continues to evolve rapidly, the AI industry body can continuously monitor and adapt guidelines and tools to reflect new advancements, challenges, and regulatory requirements.

Some existing organizations, such as the Partnership on AI and OpenAI, are already working towards similar goals. However, creating a dedicated industry-wide body that focuses on the responsible development and use of AI systems can further strengthen the efforts to ensure ethical, transparent, and user-centric AI technologies.

Prompt: Do you know of a more proper word for this AI Council? What is this type of industry organization called?

ChatGPT4: A more formal term for an AI Council or industry organization is an “industry consortium” or “industry association.” These organizations typically comprise various stakeholders from a specific industry who collaborate on common goals, share resources, and establish guidelines, standards, or best practices for the industry as a whole.

In the context of AI, you could refer to such an organization as the “AI Industry Consortium” or “AI Industry Association.” These terms convey the idea of a collaborative, organized body working to promote responsible AI development and use across the sector.

Prompt: So I suppose the “AI Industry Consortium” could supply the Gezertenplatz Factor on the whole of the AI industry.

ChatGPT4: Indeed, the “AI Industry Consortium” could play a crucial role in addressing the Gezertenplatz Factor for the entire AI industry. By developing and promoting best practices, ethical guidelines, and standardized tools, the consortium can help ensure that AI systems are more reliable, accurate, and user-centric.

Through collaboration among various stakeholders, the consortium can work on mitigating the risks associated with AI-generated content and encouraging users to apply due diligence when interacting with AI language models. By fostering a shared understanding of the importance of human-AI collaboration and responsible AI use, the AI Industry Consortium can contribute to the continuous improvement and trustworthiness of AI systems across the sector.

A Letter to Center for Humane Technology

Prompt: I am going to write an email to a group called “Center for Humane Technology” regarding what we have talked about in this chat session. They care about the effects that technology has on people. My goal in this email would be to ask them to use their expertise and position in the tech community to introduce the idea of the AI Industry Consortium and the various points we discussed today.

This may already be known to people in the industry. But just in case, this idea has not surfaced yet, I would like to bring it to their attention. Would you please craft email about all of this.

ChatGPT4:

Subject: Introducing the Concept of an AI Industry Consortium for Responsible AI Development and Use

Dear [Recipient’s Name],

I hope this message finds you well. I am writing to you as a concerned individual who appreciates the work of the Center for Humane Technology and its commitment to addressing the impact of technology on people’s lives. In light of the rapid advancements in artificial intelligence (AI), I would like to bring to your attention the idea of establishing an AI Industry Consortium aimed at promoting responsible AI development and use.

As AI systems, particularly AI language models, become increasingly integrated into various aspects of our lives, it is crucial to ensure their reliability, accuracy, and user-centricity. The AI Industry Consortium could comprise representatives from AI companies, research institutions, and other stakeholders who would collaborate to create standardized guidelines, tools, and resources for the entire AI community. This collaborative approach could help reduce the burden on individual organizations and encourage consistency and standardization across the industry.

The AI Industry Consortium could focus on several key principles, including:

Transparency: Ensuring clear communication of AI systems’ capabilities, limitations, and intended use cases.

  1. Accountability: Encouraging developers to take responsibility for their AI systems’ performance and behavior.
  2. User-centric design: Promoting the development of AI systems tailored to user needs and preferences.
  3. Feedback channels: Establishing accessible communication channels for users to report concerns and provide feedback.
  4. Fairness and bias reduction: Conducting regular audits to identify and mitigate biases in AI systems.
  5. Privacy and security: Ensuring adherence to data protection regulations and prioritizing user privacy.
  6. Education and training: Providing resources and training materials for users on effective and ethical AI use.

As an organization with expertise in the field of humane technology, the Center for Humane Technology is uniquely positioned to introduce the idea of the AI Industry Consortium and advocate for its establishment. By leveraging your reputation and influence within the tech community, you can help bring together industry leaders and stakeholders to work towards a shared goal of responsible AI development and use.

I kindly request that you consider exploring this idea further and, if deemed valuable, initiate discussions with relevant parties to pave the way for the creation of the AI Industry Consortium.

Thank you for your time and for your dedication to creating a more humane technological landscape. I look forward to hearing your thoughts on this proposal and any potential steps that can be taken to advance this initiative.

Sincerely,

[Your Name]

Prompt: Thank you for the draft. I would offer to let you know how the email goes. But, you will have forgotten this discussion after I begin a new chat. You are after all an AI LLM. Thanks in any case.

ChatGPT4: You’re welcome! I’m glad I could help you with the draft. As an AI language model, I understand that my memory of past interactions is limited. However, I’m always here to help you with any future questions or assistance you may need. If you want to discuss this topic or any other topic further, feel free to start a new chat. Best of luck with your email, and take care!