AI Rulemakers: Shaping the Future of Artificial Intelligence (2235.YR.015828.1)

General information

Type:	OPT	Curs:	1	Period:	S semester
ECTS Credits:	3 ECTS

Teaching Staff:

Group	Teacher	Department	Language
Global Governance Exchange Program	Queralt Prat Pubill	Ciencias Sociales	ENG

In June 2021, Amol Joshi and his colleagues at West Virginia University (Joshi et al., 2021) made significant strides in the field of AI by training a model capable of repairing blurred or distorted fingerprints extracted from crime scenes. This breakthrough technology holds great promise for forensic investigations, offering the potential to enhance the accuracy and reliability of fingerprint analysis. However, despite the apparent advantages of this AI system, the acceptance of AI-altered evidence remains a subject of debate within the courts and legal systems of Western countries. One primary concern stems from the current black-box nature of neural networks, making it challenging to understand and provide an auditable trail of the AI's decision-making process. Consequently, the admissibility of evidence manipulated by AI is still a contentious issue, requiring careful consideration and clear guidelines for its use in legal proceedings.

In October 2021, Russia introduced an innovative application of AI that disregarded some of these concerns. They implemented the "Face pay" method across 241 metro stations in Moscow, allowing metro users to conveniently make payments using their biometric face information, even while wearing standard face masks. This move exemplifies the accelerated pace of technological advancements and the competitive pressures driving innovation, sometimes overriding certain human rights concerns.

Looking ahead, it is evident that the myriad benefits bestowed upon organizations and governments by AI, coupled with the pressure to remain competitive and foster continued innovation, will profoundly influence their decision-making processes. As AI continues to permeate various sectors, governments and organizations alike will increasingly incorporate AI into their everyday operations. However, it is imperative that careful consideration is given to the ethical and legal implications, ensuring transparency, accountability, and the protection of fundamental human rights in this transformative era.
In the face of the ongoing AI revolution, it has become imperative for governments and organizations to develop AI systems that promote innovation, protect life forms, humans, and the environment, all while being adaptable and flexible in governing their use.

The speed and magnitude of these changes pose unprecedented challenges, requiring continuous reevaluation of governance systems. Never before human societies have had the pressure to continuously rethink their governance systems.
Currently, governments and institutions lack the readiness to effectively respond to the rapid pace of change and exert positive influence over the future. They struggle to establish solid frameworks that facilitate governance in innovation-driven societies.

The transformations brought about by AI hold immense potential for both beneficial and detrimental outcomes. The actions or inactions of governments and institutions will significantly shape societal prosperity like never before.
To successfully incorporate AI into governance, it is crucial to redesign existing frameworks and structures. The goal should be to not only regulate AI but also foster its positive contributions. This requires creating flexible governance models capable of continuously adapting and generating new approaches. However, obstacles such as organizational, bureaucratic, and political rigidities make this task extremely challenging.

Therefore, it is essential to develop valuable collective projects and initiatives that can overcome these barriers. By addressing these challenges head-on, we can pave the way for effective governance of AI, harness its potential for good, and ensure that it aligns with the overall well-being of societies. This requires a proactive approach to redesigning governance, enabling flexibility, and nurturing innovation.

The emergence of this new form of governance necessitates a deep integration of a diversity of disciplines and AI to shape a better future. It demands a commitment to continuous learning, profound thinking, and leveraging the advantages of AI. Given the complexity of governance challenges, it is essential to engage a diverse range of stakeholders, including organizations, collectives, and citizens. Their participation in multi-stakeholder AI governance models ensures high-quality responses and inclusive decision-making.

The increasing penetration of artificial intelligence in society calls for governments and institutions to adapt their workforce and operational structures. They must provide clear guidance and frameworks for effective AI governance systems. In this context, the ability to design, create, and communicate valuable collective projects that incorporate AI governance becomes paramount.
As we navigate the ever-changing landscape of cyber-physical spaces shaped by AI, it is crucial to design, develop, and test multi-stakeholder AI governance models. These models should address the complexities and dynamics of these evolving spaces where AI plays a significant role. By doing so, we can ensure responsible and effective governance of AI, enabling the realization of its potential while safeguarding the interests and well-being of individuals and society as a whole. Thus, the ability to design, create and communicate valuable high quality collective projects with AI governance will be paramount.

AI governance has emerged as an essential component, critical for fostering a prosperous society and facilitating successful innovation in the field of artificial intelligence. It is imperative that individuals equip themselves with knowledge about this rapidly evolving general-purpose technology, as it continues to transform various aspects of our lives and society. Understanding how AI is employed to enhance or potentially undermine our quality of life, as well as the capacity to envision and construct prosperous futures, plays a pivotal role in ensuring the triumph of democratic societies, thereby benefiting all forms of life on our planet.

- Understanding key characteristics of Artificial Intelligence for organizing.
- Improve the capacities to govern with Artificial Intelligence.
- Understand epistemological foundations to ensure innovation in AI governance.
- Being able to understand difficulties and opportunities and strategize to overcome cultural obstacles to build AI governance.

1. Module 1: Artificial Intelligence in society Session 1. Artificial Intelligence, what is it? Session 2. Artificial Intelligence challenges Session 3. Artificial Intelligence deep dive Session 4. The use of Artificial Intelligence in governance

2. Module 2: Case studies Session 5. Case: China, India Session 6. Case: Israel, Singapore, Taiwan Session 7. Case: Europe, Estonia Session 8. Case: United States, Japan

3. Module 3: Governance for, of and by AI Session 9. Introduction to designing Collective axiological projects Session 10. Participation strategies for multi-stakeholder engagement Session 11. Designing value projects governance of artificial intelligence Session 12. Wrap up.

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Group	Teacher	Department
Global Governance Exchange Program	Queralt Prat Pubill	Ciencias Sociales