Governance Frameworks for AI

Prompt to ChomskyGPT

Referring to Isaac Asimov's Laws of Robotics, @Owen Tribe makes the case for a fourth law that includes AI as we progress to the fifth Industrial Revolution https://www.dhirubhai.net/pulse/ai-governance-fourth-law-we-need-fifth-industrial-revolution-tribe-my3ye/ from Health Care to Manufacturing.

We, at Numorpho Cybernetic Systems have detailed our opinion on Ethics and Responsibility at https://numorpho.org/whitepapers/the-coming-wave-and-existential-intelligence-ei-episode-30b-claude-version/ by having a conversation with an LLM to draft a constitution and the needs for creating explicit manifestos by domain be it for Health Care or Manufacturing or anywhere in between.

Can you do a deep Chomsky Analysis on these two articles, inter relating them and providing a narrative form detail on the needs.

Response

The rapid evolution of artificial intelligence (AI) necessitates a critical examination of its ethical and governance frameworks, particularly as we transition into the Fifth Industrial Revolution. This analysis juxtaposes Owen Tribe's proposition of a fourth law of robotics with Numorpho Cybernetic Systems' discourse on AI ethics and responsibility, aiming to elucidate the imperative for robust ethical guidelines in AI deployment.

Historical Context

The Evolution of Industrial Revolutions and AI Ethics

Here is a pertinent podcast from our Cybernetic Shift series that details the progression of the Industrial Revolution:

https://www.youtube.com/watch?v=GmIeonAu3DU

The trajectory of industrial revolutions has been marked by transformative technological advancements. The First Industrial Revolution introduced mechanization through steam power; the Second harnessed electricity for mass production; the Third brought about digital automation; and the Fourth integrated cyber-physical systems, emphasizing AI and the Internet of Things (IoT). The impending Fifth Industrial Revolution envisions a synergistic collaboration between humans and intelligent machines, focusing on personalized and sustainable solutions.

Concurrently, ethical considerations in AI have evolved. Isaac Asimov's seminal "Three Laws of Robotics" were early attempts to embed ethical behavior within artificial entities, aiming to prevent harm to humans, ensure obedience, and safeguard the robot's existence unless it conflicted with the first two laws. However, these laws, conceived in a fictional context, lack the complexity required to address contemporary AI challenges.

Institutional Power Dynamics in AI Governance

The governance of AI is influenced by a confluence of institutional actors, including governments, private corporations, and international bodies. Governments endeavor to regulate AI to protect public interests, as exemplified by the European Union's proposed AI Act, which seeks to establish a legal framework for AI development and deployment. Private corporations, wielding substantial resources, drive AI innovation, often outpacing regulatory measures. International organizations, such as the World Economic Forum, facilitate dialogues on global technology governance, underscoring the need for collaborative approaches.

Critique of Mainstream Media Narratives and Omissions

Mainstream media narratives frequently oscillate between utopian and dystopian portrayals of AI, either extolling its potential to revolutionize industries or cautioning against its existential risks. This binary framing often overlooks nuanced discussions on the ethical deployment of AI and the socio-economic implications of automation. Furthermore, media coverage tends to underrepresent the voices of marginalized communities who may disproportionately bear the adverse effects of AI integration, such as job displacement and surveillance.

Beneficiaries and Potential Alternatives

The primary beneficiaries of AI advancements are often large corporations and affluent nations that possess the capital and infrastructure to develop and implement AI technologies. This concentration of benefits exacerbates existing inequalities, leaving developing countries and underprivileged populations at a disadvantage.

Alternative approaches advocate for inclusive AI development, emphasizing community engagement, equitable access to AI education, and the democratization of AI tools to ensure broader societal benefits.

Interrelation of Tribe's Fourth Law and Numorpho's Ethical Framework

Owen Tribe's advocacy for a fourth law of robotics reflects a growing recognition of AI's pervasive role in society and the necessity for comprehensive ethical guidelines. This proposed law underscores the responsibility of AI systems to consider the broader societal and environmental impacts of their actions, aligning with the principles of the Fifth Industrial Revolution, which emphasizes human-centric and sustainable technological integration.

Numorpho Cybernetic Systems' initiative to engage in dialogues with large language models (LLMs) to draft constitutions and manifestos tailored to specific domains exemplifies a proactive approach to embedding ethical considerations within AI development. Here are some key parallels on how it would compare to the governance model for the US:

• The Constitution = AI constitution - Broad fundamental goals, values, protections
• Federal laws = General AI regulations - Governance applying across domains
• State laws = Domain manifestos - Custom protocols for healthcare AI, financial AI, smart manufacturing etc.
• City ordinances = Individual system rules - Precise technical parameters for a specific AI product

So just as the federal system allows both high-level guidance and customization, so too with AI constitution and layered manifestos we could address both universal principles and domain-specific needs.

The manifestos would build on the constitution's ethical foundations to provide "nuts and bolts" implementation details - phase-in plans, technical standards, impact metrics etc. tailored for each field's dynamics. This would uphold core tenets while allowing flexibility, oversight and responsibility across applications. A constitutional federation for AI!

By involving AI in the creation of its own governance frameworks, Numorpho seeks to ensure that ethical principles are intrinsic to AI functionalities, thereby promoting responsible innovation.

Conclusion

The convergence of propositions like Tribe's fourth law and Numorpho's domain-specific ethical manifestos signifies a critical juncture in AI governance. As we stand on the cusp of the Fifth Industrial Revolution, it is imperative to establish robust ethical frameworks that guide AI development and deployment. These frameworks should be inclusive, considering the perspectives of diverse stakeholders, and adaptive, capable of evolving alongside technological advancements. Such an approach ensures that AI serves as a tool for equitable and sustainable progress, aligning with the broader aspirations of a just society.

Links

In this episode we gather a cast of characters from the founding fathers of the US Constitution and other luminary figures to constitute, ratify and help institute a responsible framework for the progression of AI. We also conjoin it with our prior conversation with Claude.ai from Anthropic where we talked about the Nature of Being, and mind and matters.

The premise is about creating a basis for responsible and ethical AI using the US Constitution and its drafting as the backdrop. This aligns with the broader conversation about how we can navigate the challenges and opportunities presented by AI and other fast-proliferating new technologies. The idea is to shape these technologies from the ground up, involving AI developers, governments, regulators, and more. It’s an intersection of technology, ethics, and governance.

• The Coming Wave and Existential Intelligence (EI) – Episode 30B (Ethics and Responsibility – Claude Version)

Here are some key considerations summarized in the article:

1. Purpose - Keep the technology's purpose centered on broadly improving human lives and societies. Avoid harmful or exploitative applications.
2. Transparency - Clearly communicate capabilities, limitations, and intent behind AI systems to maintain trust.
3. Explainability - Enable users to understand how the AI makes decisions by providing explanations and visualizations.
4. Fairness - Proactively assess for and mitigate biases. Monitor for disproportionate impacts on vulnerable groups.
5. Accountability - Build in checks to correct errors or harmful effects. Have processes to address grievances.
6. Privacy - Limit data collection and employ encryption to protect sensitive user information. Provide opt-out choices.
7. Humility - Do not overstate current abilities of AI. Be conservative in deployments until capabilities are robust.
8. Collaboration - Involve stakeholders early and often. Co-design solutions with transparency and human control.
9. Gradual Rollout - Phase in AI carefully aligned to demonstrated levels of safety and reliability. Move slowly and reversibly.
10. Oversight - Maintain human monitoring and the ability to override. Apply the precautionary principle to managing risks.

By grounding the engineering in ethics, human interests and democratic values as discussed, AI systems can responsibly enhance industries and lives!

More details are available at https://numorpho.org/

NITIN UCHIL Founder, CEO & Technical Evangelist

[email protected]

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