In its third edition, AI Week revisits the findings of the Global Responsible AI Index and aims to collaboratively reflect on how to build artificial intelligence governance that centers human rights through multi-sectoral partnerships among civil society, academia, the private sector, and governments, ensuring the development of technologies for the common good.

At ILDA, we investigate and promote discussions concerning the ethical development, use, and adoption of new technologies to advance a new model of data and artificial intelligence governance that is more democratic. In previous editions of AI Week, we have sought to foster and facilitate regional conversations to understand the state of technology adoption across multiple sectors, as well as to promote discussions regarding government development, use, and adoption in pursuit of modernization and regional development. However, we emphasize the necessity of addressing the risks associated with hasty adoptions that do not consider national and regional contexts. From our perspective, we believe that to discuss how to build responsible technologies, it is essential to rethink how data structures and infrastructures operate, as these are fundamental inputs for developing artificial intelligence tools.

In this new edition, through a series of conversations, interviews, and communication pieces, we will seek to address the discussion on what is needed to turn governance and regulation efforts of AI into effective implementation mechanisms for human rights-based artificial intelligence models, as well as identify the critical gaps to achieve this. Additionally, we will propose conversations about the impact of AI in specific areas such as personal data, art, and the environment.

 

Webinar 1: Human Rights and AI Governance in Latin America

Date: August 27
Time: 4:00 PM Arg / 1:00 PM Mex
Format: Webinar
Language: Spanish

The Global Responsible AI Index, launched in June 2024, demonstrated that while there are efforts in Latin America to establish specific regulatory frameworks and promote intersectoral collaboration, there is still a long and challenging road ahead. Our region needs to address the ethical and human rights challenges associated with AI, highlighting the importance of strengthening regional coordination and fostering equitable and responsible approaches in this area.

Building on these findings, we will explore the critical human rights gaps in the current state of AI regulation and development and collectively consider how to strengthen multi-sectoral collaboration to ensure a present and future where AI centers on human rights rather than exacerbating inequalities.

Register here

 

 Webinar 2: Culture, Art, and Intellectual Property in the Era of AI

Date: August 28
Time: 4:00 PM Arg / 1:00 PM Mex
Format: Webinar
Language: Spanish

The era of artificial intelligence presents significant challenges for culture, art, and intellectual property. The automation of content creation raises numerous questions. On one hand, it offers opportunities for innovation and experimentation; on the other hand, it poses serious challenges regarding copyright, authenticity, labor displacement, and ethical considerations.

In this forum, we will reflect on how AI challenges existing copyright frameworks, the necessary changes, the use of artists’ works to train algorithms without compensation or recognition, and the debates surrounding authorship of works generated by AI.

Register here

 

Webinar 3: Data Readiness for AI and Science Development

Date: August 29
Time: 4:00 PM EST / 4:00 PM Arg / 1:00 PM Mex
Format: Webinar
Language: English

Data serves as the fundamental input for the development of artificial intelligence. Having quality, representative, interoperable, and reliable data is crucial for the creation and utilization of responsible AI systems. However, many organizations face challenges related to the quality and harmonization of their data, which limits their ability to effectively leverage this technology.

In this conversation, hosted in collaboration with D4D, we will reflect on the data ecosystems in Latin America and whether they are prepared to support the development of human rights-respecting and responsible AI. We will also address the challenge of relying on data governance to mitigate biases in AI systems and discuss the risks associated with not having reliable data. Lastly, we will explore the apparent contradiction between data protection and the availability of data for AI.

Register here

 

Special 1: The Impact of Artificial Intelligence on the Environment, Case in Latin America

AI technologies are already being used and have the potential to enhance efforts for environmental protection and sustainability by aiding in monitoring, optimizing, and managing resources, among other things. However, we cannot overlook the potential negative impacts on the environment, linked to the massive consumption of energy resources and the extensive exploitation of natural resources necessary to produce and operate these technologies. In this special feature, we will interview subject matter experts to explore technological development options that allow for a balance between respecting environmental rights and promoting technological innovation.

Special 2: Personal Data vs. Meta: An Unequal Fight in Latin America

The struggle for the protection of our personal data in the age of social media and the exploitation of algorithms as a business model has taken a new turn this year with Meta’s decision. The Big Tech company with the most users globally announced that starting June 26, 2024, it will use the data of Facebook and Instagram users to train its artificial intelligence model. This will include both photos and videos, raising concerns in the region regarding the implications for privacy protection and the use of personal information of users. Users in Europe can opt out of having their data included in this process via a form, but this option is not available for users in Latin America, where data protection legislation is insufficient to address these new models of extraction and analysis. Through interviews with experts and activists, we will address this urgent issue for the defense of personal data in our region.