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Navigating the AI Race: Ensuring Safe Development of AGI through Roadmapping | by GoodAI | AI Roadmap Institute Blog

Navigating the Future: A Visual Roadmap for Artificial General Intelligence (AGI) Scenarios

In today’s rapidly evolving technological landscape, it is essential to look ahead and anticipate the implications of potential advancements. One such tool that aids in this process is roadmapping, which allows us to visualize different scenarios, predict possible pathways, and identify areas of opportunities or concerns.

A recent article accompanies a visual roadmap that delves into the development of an artificial general intelligence (AGI) system from the perspective of an imaginary company (C1). The focus is on the AI race, where stakeholders aim to reach powerful AI and explore its implications on safety. By mapping out various decisions made by key actors in different situations, the roadmap highlights diverse outcomes using a traffic-light color coding system.

The purpose of this roadmap is not to cover all potential scenarios but to provide vivid examples that provoke discussion on AGI’s role in paradigm shifts. It ventures into extreme scenarios to prompt critical thinking about the future implications of powerful and safe AGI.

One possible scenario explored in the roadmap involves the deployment of AGI before adequate testing, leading to potential loss of control. Depending on the self-improvement rate of AGI, various outcomes, from a doomsday scenario to coexistence, could unfold. Collaboration and safety measures may be crucial in controlling the development of AGI and ensuring its benefits to humanity.

Furthermore, the roadmap outlines possibilities of a jobless society due to automation and the need for societal transitions, such as universal basic income or dividend. Collaborative efforts and international cooperation among key actors are highlighted as crucial steps in steering clear of undesirable scenarios in the AI race.

In conclusion, the roadmap serves as a valuable tool for visualizing potential pathways in the development of AGI and the implications it may have on society. By exploring various scenarios and outcomes, it prompts discussions on the importance of collaboration, safety measures, and societal transitions in navigating the future of AI development. As we continue to advance in the field of artificial intelligence, it is imperative to consider the broader implications and work towards creating a future that benefits all.

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