Good AI for the Present of Humanity Democratizing AI Governance

Abstract: What do Cyberpunk and AI Ethics have to do with each other? Cyberpunk is a sub-genre of science fiction that explores the post-human relationships between human experience and technology. One similarity between AI Ethics and Cyberpunk literature is that both seek to explore future social and ethical problems that our technological advances may bring upon society. In recent years, an increasing number of ethical matters involving AI have been pointed and debated, and several ethical principles and guides have been suggested as governance policies for the tech industry. However, would this be the role of AI Ethics? To serve as a soft and ambiguous version of the law? We would like to advocate in this article for a more Cyberpunk way of doing AI Ethics, with a more democratic way of governance. In this study, we will seek to expose some of the deficits of the underlying power structures of the AI industry, and suggest that AI governance be subject to public opinion, so that good AI can become good AI for all.

• The paper critiques existing superficial AI ethical guidelines and highlights their inability to enforce substantive accountability.
• It links ethical shortcomings with societal issues such as technological unemployment, income inequity, and underrepresented diversity.
• The authors advocate for a decentralized, democratic governance framework that includes direct public participation and international cooperation.

Good AI for the Present of Humanity: Democratizing AI Governance

Introduction

The paper, "Good AI for the Present of Humanity: Democratizing AI Governance" (2007.04477), seeks to address the intricate relationship between AI ethics and governance within the framework often found in Cyberpunk literature. As technology continues to accelerate societal norms and interactions, this work critiques the current landscape of AI ethics, emphasizing the shortcomings and superficial nature of ethical guidelines, and advocates for a more democratized and inclusive approach to AI governance.

Critique of Current Ethical Guidelines

The authors articulate a critical position regarding existing ethical guidelines in the AI sector, arguing that these often serve as a veneer of responsibility rather than substantive regulatory frameworks. The notion that such guidelines offer genuine regulatory influence is vigorously disputed. The paper highlights studies, notably by McNamara et al. (2018), which demonstrate the negligible impact of ethical codes on real-world decision-making among software developers (2007.04477). This critique extends to the role of soft policies in privatizing a fundamentally public ethical debate and the failure of such guidelines to enforce accountability or ensure transparency and privacy effectively.

Societal and Ethical Implications

The authors explore the societal repercussions of unaligned AI governance, drawing parallels with Cyberpunk narratives that project dystopian futures stemming from unchecked technological hegemony. They contend that AI ethics must transcend current superficial ethical stipulations and focus on core societal issues such as technological unemployment, income inequity, and humanitarian concerns. Issues like diversity and representativeness, which are scarcely acknowledged in mainstream AI ethics discourses, are underscored as imperative areas for ethical consideration and governance.

Moreover, current AI systems' misalignment is linked to ongoing humanitarian costs and risks of societal inequalities. The authors argue for actionable regulation frameworks that hold AI stakeholders accountable at both national and international levels, particularly proposing the categorization of "technological crimes" against humanity to include exploitive practices by AI-driven technologies.

Advocacy for Democratic Governance

The paper proposes an innovative approach toward decentralized governance, suggesting the integration of direct and augmented democratic mechanisms to align AI industry operations with societal needs and values. The authors emphasize the significance of an international treaty among AI leaders to establish cooperative norms and discourage competition that overlooks social welfare (2007.04477). Such cooperative strategies are necessary to develop open-source AI projects, broadening inclusivity and democratizing AI development.

In line with these propositions, the authors envision a future where ethical AI governance is democratized, meaningfully incorporating voices from the Global South that are presently underrepresented. They advocate for the adoption of augmented democracy facilitated by AI to enable more participatory governance models.

Conclusion

In summary, the paper presents a compelling case for rethinking AI ethics beyond prevailing cosmetic guidelines to embrace a more robust, inclusive framework that addresses pressing present-day societal issues. The authors propose a shift toward democratized AI governance that prioritizes humanitarian values and inclusive growth. As such, the ramifications of this research could serve as a foundation for transformative approaches in global AI policy reforms, although its ideas require further development and critical examination by international deliberative processes.