The conversation delves into AI's role in managing systems of accountability, transparency and the empowerment of humans as referees, to manage AI agents.

As long as hierarchical top-down decision making structures continue as the organizational norm, more actions like the sudden and temporary removal, subsequent employee protests and reinstatement of Sam Altman and Greg Brockman from OpenAI are sure to occur across industries. With AI, the use of these structures becomes more critical as they design and guide how humans and AI interface.

If AI development is under the supervision of these hierarchical structures, that limited use of board action will continue to be the norm for decision making processes. But self organizing principles can be used to remove the bias of a few decision makers, and make sure the processes and guidelines are in place for AI to be inclusive of all stakeholder voices and perspectives.

In this episode of Benevolent AI, we examine whether self organization could better inform and lead the AI in effective decision making processes that are inclusive of varied perspectives, collective needs and all voices in an organization. How can the AI developers be incentivized to self-organize and design based on those principles for inclusive decision-making systems.

Nestr.io Co-Founder and organization development expert Joost Schouten points out that OpenAi failed to integrate all perspectives into effective decision making and instead expelled voices that if included could have led to a better outcome.

Self organizing systems such as Decentralized Autonomous Organizations (DAOs), collectives and teams are a microcosm and training ground for creating rules, guidelines, principles, systems for managing decisions, resource allocation, power and legitimacy, topics and questions that are coming up fast and strong within the AI environment.

Takeaways

Self-organization can provide a set of tools to create boundaries and guidelines for AI systems, ensuring they serve collective needs.

Inclusiveness and representation are crucial in self-organizing systems and should be considered when employing AI.

Accountability is essential in AI systems, and human oversight is necessary to correct AI agents when they step outside of their bounds.

AI can be employed to craft governance systems and assist in decision-making, but human accountability is crucial.

Self-organization principles can lead to more inclusive and representative organizations, which can be enhanced by AI.

About Joost Schouten

Joost supports organizations in their pursuit of self-organization in a few different capacities. He is a partner at Nestr.io, PowerShift Capital, Energized.org and supports multiple DAO’s in getting work done in a decentralized environment.

He has worked for more than two decades to help people do work they care about, initially by supporting people to better assess & utilize their passions/skills through self-organization. Now he is  primarily focussed on the systemic power shift needed in our organizations to make them purpose driven. In different capacities he works on upgrading legal, capital & incentive structures and decision making processes so that people and organizations can create the impact they desire effectively and at scale.

#openai #artificialgeneralintelligence #governance #ai #dao #philosophy #podcast

# About Better Worlds

Better Worlds is a communication and community building platform comprised of weekly podcasts, engaging international conferences and hack-a-thons to encourage and support the development of Web3 solutions. Our programs celebrate voices from every continent to forge a shared and abundant future.