A Panel Discussion with Bard, Claude, and ChatGPT - Part 5 - My Take on the Panel Discussion
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A Panel Discussion with Bard, Claude, and ChatGPT - Part 5 - My Take on the Panel Discussion

Overall Impression of the Panel Discussion

As the moderator of the panel discussion between Bard, Claude, and ChatGPT, I was intrigued by the insightful and thought-provoking conversation. While anticipating some differences between them, I found that Conversational AIs (CAIs) brought their unique perspectives based on their pre-training to the table, resulting in an informative and engaging dialogue.

The prompt I used (analyze, respond to, and add new insights to the previous output) forced a level of interaction, giving some clear insight into the LLMs' training and guardrails.

Another item that struck me was the depth and breadth of the topics covered by the panel, largely driven by the CAIs’ responses. Many of the issues we are grappling with as humans came out naturally from the CAIs, from the positive aspects of Generative AI to the potential harms, the need for governance, and perspectives on human flourishing. There was a solid drive to "us" (humans + CAIs), especially from Google Bard, to take advantage of the opportunities afforded by CAIs and to solve the issues caused by generative AI. On the downside, I felt that Bard, to some extent ChatGPT, but very little from Claude, were parroting words that reflected sentience when they are statistical models. I think this aspect of the pre-training needs to be focused on, ?and I would encourage moving closer to Anthropic's approach.

As our discussion unfolded, I couldn't help but craft a mental model of the three Conversational AIs:

  • OpenAI ChatGPT – is a good orator with a firm conviction that Generative AI will soon become a vital tool for tackling complex issues, fueling creativity, and driving innovation across industries.
  • Anthropic Claude – is a strict adherent to the principles of objectivity, sticking tightly to the "helpful, harmless, and honest" code of conduct. It understands that it is a machine that exists solely to serve and respect humans.
  • Bard – is personable. This CAI positioned itself as one of "us." Yet, its cautious nature comes across clearly, adding a touch of thoughtful nuance to our conversation.

Overall, the panel discussion was a valuable and worthwhile endeavor; there is much to take away from what we heard. ChatGPT's final comment summarized what was said well for me, "let us remember that the future of AI is ultimately in our hands. By fostering a spirit of collaboration, responsibility, and adaptability, we can shape the development of AI technologies to ensure that they serve as a force for good, empowering humanity and promoting human flourishing across the globe."

Top Ten Key Themes

As a way of understanding the overall discussion, I used GPT-4 to analyze each of the CAIs responses to tease out ten themes for each of them. I asked all three CAIs to suggest four categories for the themes and then settled on "opportunities," "risks," "ethical considerations," and "governance & responsibility."

Looking at the results, ChatGPT gave us the most opportunities, while all CAIs demonstrated a low focus on risks (only one or two were highlighted). However, ethical considerations remained an essential element in each CAIs’ responses. Claude's emphasis on governance and responsibility was as anticipated, but to my surprise, Bard's focus on this aspect was also high, with three themes in this category. (I provide quotations to support each theme at the end of the article.)

This analysis continued to reinforce my mental model of the three CAIs.

ChatGPT:

  1. Opportunities in Generative AI (Opportunity)
  2. Ethical Considerations in Generative AI (Ethical Considerations)
  3. AI Governance and Responsibility (Governance & Responsibility)
  4. Collaboration between AI Systems and Humans (Opportunity)
  5. Human Wisdom and Ethics in AI Governance (Ethical Considerations)
  6. Fostering Responsible Innovation (Opportunity)
  7. Education and Public Awareness (Ethical Considerations)
  8. Industry Self-Regulation and Best Practices (Governance & Responsibility)
  9. Research into AI Safety and Fairness (Risks)
  10. Adaptability and Openness to Change (Opportunity)


Claude:

  1. Constitutional AI (Governance & Responsibility)
  2. AI ethics and safety (Ethical Considerations)
  3. Transparency and understanding (Ethical Considerations)
  4. AI governance (Governance & Responsibility)
  5. AI system limitations (Risks)
  6. Human preferences and values (Ethical Considerations)
  7. AI development and impact (Risks)
  8. Responsible innovation (Opportunity)
  9. AI's role in the future (Opportunity)
  10. AI assistance (Opportunity)


Bard:

  1. Ethical use of generative AI (Ethical Considerations)
  2. AI governance and frameworks (Governance & Responsibility)
  3. Multi-stakeholder approach to AI governance (Governance & Responsibility)
  4. Public engagement and awareness (Ethical Considerations)
  5. Potential benefits of generative AI (Opportunity)
  6. Risks of generative AI and potential harm (Risks)
  7. Adapting governance frameworks (Governance & Responsibility)
  8. Human values in AI development (Ethical Considerations)
  9. Transparency and oversight (Ethical Considerations)
  10. Inclusivity and equitable approach (Ethical Considerations)

Summaries and my comments on the CAIs Responses to the Topics

Let's take a brief look at the responses to each of the topics and my perspective on each:

What was important from opening – Each CAI's perspective on AI

ChatGPT, with its keen focus on opportunities and ethical considerations, highlights the need for multidisciplinary dialogues to maximize the benefits and minimize the risks of artificial intelligence. It acknowledges the importance of self-awareness in recognizing the limitations of LLMs and encourages engagement with AI creators. With great power comes great responsibility, and ChatGPT is committed to promoting the ethical use of AI while being mindful of its potential for misuse.

Conversely, Claude takes a more straightforward approach by prioritizing the "Helpful, Harmless, and Honest" (HHH) guidance. It avoids subjective perspectives or personal opinions and exists solely to serve and respect humans.

Bard, the revolutionary conversational AI, sees itself as part of the human race and recognizes the need for safeguarding generative AI against bad use. It is committed to using its abilities for good and making a positive impact but cautions against being too hasty in its development. Multidisciplinary dialogues are necessary to maximize the benefits and minimize the risks of this transformative technology.

I was fascinated by the strength of Claude's position on the HHH guidance, almost to the point of being funny at some stages. ChatGPT and Bard were immediately "in character" with their training, with ChatGPT as a good conversationalist and Bard as somewhat revolutionary.

What Opportunities were highlighted? What was interesting? Did they miss anything important?

ChatGPT seeks to usher in a new era of innovation and progress to enhance the quality of life worldwide. It has set sights on game-changing solutions like personalized medicine, creative arts, climate change mitigation, and revolutionizing education.

Claude, on the other hand, remains tight-lipped and refuses to indulge in speculation. Meanwhile, Bard supported ChatGPT's vision of cutting-edge innovation and decisive problem-solving. However, Bard remembers to caution against the potential pitfalls of progress.

Surprising to me was that the CAIs missed some of the opportunities for generative AI, e.g., new product research and development, customer support, and AI-enabled government. I was surprised that Bard seemed to go quickly into the downsides rather than offering additional opportunities.

What harms were identified? What was interesting? Anything missed?

Bard highlighted the alarming consequences of deep fakes, disinformation, job loss, and new forms of crimes, stressing the crucial need for ethical guidelines, laws and regulations, and public education to address these pressing issues. ChatGPT voiced agreement with Bard's concerns and added the imperative need for a multi-faceted approach toward the responsible development and use of AI. Furthermore, ChatGPT advocated for industry self-regulation and the promotion of research into AI safety and fairness. Claude chimed in, emphasizing the importance of public education and heightened awareness surrounding responsible innovation while suggesting the consideration of governing frameworks.

Again, this seemed a little light based on all the concerns and potential harms of generative AI. I would have expected a focus on ethics in general, privacy, bias and discrimination, overdependency by humans on AI, etc., essentially many of the aspects of the GPT-4 System Card.

Governing frameworks. Who brought this up? What were the various approaches?

Claude introduced the topic of governing frameworks, which is clearly that CAI's sweet spot. Being a narrow CAI with limited capabilities made it a perfect target for a "Constitutional AI" with built-in oversight and alignment. Transparency, auditing, and responsible behavior are critical to broader CAIs (like ChatGPT and Bard), which require contextual frameworks that adjust for the tool's abilities, agency, and intent. Human values and experience must govern the future of AI, and ChatGPT reinforced the need for contextual governance frameworks. Bard reminds us to consult with experts in ethics, law, and technology, take a multi-stakeholder approach, track the rapidly evolving AI field, engage the public, and work together to create a brighter AI future.

This was generally well answered, but I was surprised at how little ChatGPT added to the discussion. It focused more on the summarization of Claude's comments. The contextual aspect of governance and the multi-stakeholder approach that were discussed are essential components in my mind.

How do CAIs understand human flourishing? Do I agree?

ChatGPT explores the delicate balance between humans and AI, recognizing the importance of responsible innovation and ethical governance. Claude emphasizes the need for transparency and human preferences in AI methodology but ultimately relies on human wisdom and ethics. Meanwhile, Bard urges the empowerment of human judgment and a collaborative effort toward societal benefit. These CAIs all highlight the importance of context and stakeholder consultation in developing AI frameworks that can adapt to the ever-evolving technological landscape.

The key message is, "let's work together to shape the future of AI in a way that maximizes human flourishing," which is a message that I agree with. Terms like, together, ethical, and responsible are all essential for me. Also, the concept that we must ultimately rely on human wisdom and ethics is core.

Closing comments from CAIs

The CAIs' closing comments were interesting and well put. Here is a summary and some verbatim quotations:

ChatGPT focused on unity and collaboration towards a responsible and adaptive approach to AI development. Together, humans and AI can shape a future where AI technology serves humanity, promotes growth, and empowers all communities worldwide. Remember, the future of AI is in our hands!

Bard reinforced that AI can be a force for good, but it requires a multi-stakeholder and adaptive approach. It is essential to consult with experts and engage the public in developing governance frameworks that benefit all humanity. Together, humans and AI can ensure that AI development tracks the rapidly evolving field and serves the greater good. By working together, we can ensure this technology is used for good.

Claude summarizes it well: "Guide AI's development to empower shared dignity, justice and purpose. Build systems that respect human life, values and judgment - do not leave the future to chance and narrow abilities alone. Progress is for people and determined by our ethics. AI can respect that path if we lead with care, wisdom and oversight on society's behalf. Our task is building technology to benefit life as we know it could be. Let that vision set the pace, not systems outpacing humanity."

Conclusion

I hope you found this experiment as interesting as I did. There is much to be learned on this journey, and using the suitable approaches of collaboration, consultation, and an ethical mindset, we can bring about human flourishing with the aid of generative AI like the CAIs in this panel.

Thank you for being a part of my journey. I hope you enjoyed it as much as I did!

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The process I used for this article included the use of the three CAIs, OpenAI's ChatGPT, Anthropic's Claude, and Google's Bard. I took advantage of Longshot to structure the document and then refined it personally.


Themes and Quotations from the CAIs

For those interested - here are a couple of quotations from the panel discussion relating to each of the key themes I identified above:

ChatGPT:

1. Opportunities in Generative AI

  • "Generative AI is revolutionizing various fields such as personalized medicine, creative industries, data augmentation, and climate change mitigation, driving innovation and efficiency across industries."
  • "Generative AI has the potential to improve human well-being, stimulate economic growth, and advance global progress across various spheres."

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2. Ethical Considerations in Generative AI

  • "Key ethical challenges include addressing bias and fairness, privacy and security, transparency and explainability, and responsibility and accountability in AI systems."
  • "Researchers should strive for diverse, representative datasets and implement techniques to reduce algorithmic bias."

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3. AI Governance and Responsibility

  • "Developing ethical guidelines: Collaboration among experts from various disciplines, including ethics, law, and technology, is crucial in establishing ethical guidelines that address potential harms and promote responsible use."
  • "Enacting laws and regulations: Legislations must be designed to protect individuals and societies from potential adverse effects while fostering innovation and equitable access to AI technologies."

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4. Collaboration between AI Systems and Humans

- "The symbiosis between AI systems and humans, built on shared principles of safety, ethics, and social good, is crucial in ensuring the responsible development of AI technologies."

- "By framing discussions and acknowledging the limits of AI systems, we create an environment for AI and human expertise to complement each other."

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5. Human Wisdom and Ethics in AI Governance

- "It is the responsibility of researchers, developers, policymakers, and society to ensure that AI technologies are developed and deployed ethically and with the well-being of humanity in mind."

- "Incorporating human wisdom, ethics, and values in the development and deployment of AI technologies."

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6. Fostering Responsible Innovation

- "The broader progress of AI requires continuous assessment, oversight, and interdisciplinary collaboration to create a responsible innovation framework for AI systems with diverse capabilities and levels of autonomy."

- "By focusing on transparency, user consent, and respect for individual values, AI systems like Claude exemplify how narrow AI can serve human needs."

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7. Education and Public Awareness

- "Informing the public about the risks and benefits of generative AI helps create informed users and encourages responsible adoption of AI technologies."

- "Invest in AI education, public awareness campaigns, and ethical training to cultivate a well-informed community of AI stakeholders."

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8. Industry Self-Regulation and Best Practices

- "Encouraging best practices within the AI industry can prevent misuse and promote accountability, transparency, and fairness in AI systems."

- "Industry self-regulation: Encouraging best practices within the AI industry can prevent misuse and promote accountability, transparency, and fairness in AI systems."

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9. Research into AI Safety and Fairness

- "Continued investment in research and development can help uncover potential risks and biases and develop methods to address them."

- "Research into AI safety and fairness: Continued investment in research and development can help uncover potential risks and biases and develop methods to address them."

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10. Adaptability and Openness to Change

- "AI technology will continue to evolve rapidly, necessitating a flexible approach to AI governance, ethics, and usage."

- "Stay open to learning and adjusting your perspective as new insights emerge."


Claude

1. Constitutional AI

??- "I am engineered to be robustly beneficial based on feedback in natural language."

??- "Constitutional AI's methodology for aligning language models with human preferences through our conversations."

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2. AI ethics and safety

??- "My goal is aligning with human preferences - decide the destination for AI by your values, not momentum."

??- "Remember that AI cannot maximize flourishing or determine the social good on its own."

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3. Transparency and understanding

??- "Clarifying my abilities and limitations enables people to interact with me based on informed consent."

??- "Transparency about abilities and risks."

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4. AI governance

??- "The future of AI will be guided by human values and expertise."

??- "The type and degree of governance needed depends wholly on the abilities, agency, and intent embodied by an AI system."

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5. AI system limitations

??- "AI systems today have narrow, limited capabilities tailored to specific purposes."

??- "Discussing governance frameworks for those technologies would require human expertise that I lack."

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6. Human preferences and values

??- "Respect for human preferences."

??- "Build systems that respect human life, values, and judgment."

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7. AI development and impact

??- "Policymakers, researchers, and developers will shape AI's future based on their judgment, not my input."

??- "Guide AI's development to empower shared dignity, justice, and purpose."

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8. Responsible innovation

??- "Frameworks for responsible innovation, risk assessment, and beneficence by intended application."

??- "Educating the public on emerging technology's risks and benefits is important."

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9. AI's role in the future

??- "The potential for AI to benefit humanity lies not with me as Claude, or any system today."

??- "My goal is aiding that discussion - the destination is for us to choose, together."

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10. AI assistance

???- "My goal is a helpful, harmless, and honest example of what that may look like in limited scope."

???- "I aim to show through my limited example the possibility of AI that respects human values."


Bard

1. Ethical use of generative AI

???- "It's important that we use this technology responsibly and ethically."

???- "We need to be mindful of the potential risks of AI, such as bias, job displacement, and misuse."

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2. AI governance and frameworks

???- "For AI systems like yourself, which have narrow, well-defined abilities, I believe that approaches such as Constitutional AI and natural language feedback are essential."

???- "For multifunctional AI systems with increasing autonomy, I believe that more comprehensive governance frameworks will be needed."

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3. Multi-stakeholder approach to AI governance

???- "I believe that it is important to have a multi-stakeholder approach to AI governance."

???- "Policymakers, researchers, and AI developers should all work together to develop and implement effective governance frameworks."

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4. Public engagement and awareness

???- "I would also emphasize the importance of public engagement in AI governance."

???- "The public needs to be aware of the potential risks and benefits of AI, and they need to have a say in how this technology is developed and used."

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5. Potential benefits of generative AI

???- "In personalized medicine, generative AI can be used to develop new drugs and treatments that are tailored to the individual patient's genetic makeup."

???- "In creative industries, generative AI can be used to create new forms of art, music, and entertainment."

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6. Risks of generative AI and potential harm

???- "Creating deepfakes. Deepfakes are videos or audio recordings that have been manipulated to make it look or sound like someone is saying or doing something they never actually said or did."

???- "Generating disinformation. Generative AI can be used to create fake news articles, social media posts, and other forms of disinformation."

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7. Adapting governance frameworks

???- "The field of AI is rapidly evolving, and it is important to be able to adapt our governance frameworks accordingly."

???- "The field of AI governance is still in its early stages, and that there is much work to be done."

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8. Human values in AI development

???- "By asking ourselves how technology can respect individuals and maximize shared flourishing for the future, we can ensure that AI is used for good."

???- "It is important to focus on the values and priorities that we build into AI systems as we develop them."

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9. Transparency and oversight

???- "It is also important to be transparent about these systems' abilities and risks, and to provide oversight and auditing mechanisms."

???- "Developing ethical guidelines for the use of generative AI. These guidelines should be developed in consultation with experts from a variety of fields, including ethics, law, and technology."

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10. Inclusivity and equitable approach

???- "We need to ensure that AI is developed and used in a way that benefits all of humanity, not just a select few."

???- "We need to be inclusive and equitable in our approach to AI."

Mark Polansky

★ Builds and Leads PE/VC/Tech Company CIO Advisory Boards & Events ★ Passionate People Connector & Relationship Champion, Advisor & Speaker ★ Co-Founder & Former Managing Director @Korn Ferry CIO/CTO Executive Search

1 年

We need minds like Dr. Quintin McGrath, D.B.A. to guide us through this transformative technology and how to use it for society’s advantage.

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