Description: Machine Learning is leading a real data revolution. It is a sub-area of Artificial Intelligence (AI) that relies on data to identify pattern, classify, aggregate, in others words, to learn and generate values to societies. Data is the fuel for Machine Learning and the algorithms are becoming more powerful over the days. However, it is important to highlight the data is not equally available and distributed for everybody. Data may be a barrier of entry to ensure the global south can participate in this new economy. We argue that that data is being extracted from the global south and access is being monopolized by big players from the north, which is entrenching global south into a position of consumer, not producer of technology. In this workshop, we discuss how open data principles and web technologies could help to overcome some of the consequences of this data concentration and increase its quality. We also discuss how important is to bring a humanistic approach in Artificial Intelligence. We definitely need to involve people in the process of developing new cognitive technologies in order to find real requirements, decide what values should be incorporated in the system, evaluate its results and minimize its risks. In this case, we argue that different design approaches, such as Human-Centered and Interaction Design, is a powerful approach to be incorporate in machine learning projects once it helps to focus at the technological development based on people's needs. Last but not least, we also discuss the problematic of personal data and some technical and design initiatives that could help to re-decentralize the Web and give users control over their own data. Regarding all these issues, the importance of different design approaches, the use of open data principles and Web technologies are in the core of the debate. So, how do we contribute to inclusive economic development while attending people's need and protecting humans right? This emerging question will guide our workshop and it is the inspiration for all the policy questions detailed in the previous section. It will also give us theoretical and practical background to rethink aspects of data governance, data quality and AI development in order to be prepare us for immediate future. Workshop agenda 1) Opening remarks on policies and practices regarding data governance and artificial intelligence by the moderator of the workshop (5 min) 2) Five interventions with use cases to generate the debate among the speakers and the audience about the importance of open data and different design approaches for data governance and Artificial Intelligence (20 minutes) 3) Experts and the audience will debate focusing on the development of a roadmap to address possible strategies for the data concentration and humanistic approach in AI (20min). 4) Closure by the moderator of the workshop (5 min)
Expected Outcomes: During the session, regarding the Policy Questions, the experts will briefly explore the concepts of different design approaches, such as Human-Centered and Interaction Design, and Open Data principles to answer the question of how they could improve Artificial Intelligence. Use cases will be discussed among the participants and they will also discuss the challenges to improve AI through a roadmap development for the next years and how it will bring a significant change to the Web as we know it. Hence, the workshop may provide a roadmap agreed among workshop participants to open a global debate on the core challenges to enhance AI and inclusive economic development while protecting the rights of people. The purpose of the workshop is to reach out to different stakeholders in order to disseminate this roadmap.
