“In Search of Good Practices Regarding Data andArtificial Intelligence in Physical Education, Sport, andLeisure,” Lamartine DaCosta & Wagner Gomes, Position paper, eMuseum ofSport, Rio de janeiro, 2024.

INTRODUCTION

This document records statements by Lamartine DaCosta withWagner Gomes as the interlocutor during an interview for RadioMEC of Rio de Janeiro in June 2024. The focus of the questions
and answers that follow is related to the publication of a book aboutdata and Artificial Intelligence. The publication in question refers tocases of experience in collecting and using data within PhysicalEducation, Sport, and Leisure in Brazil and abroad. The importanceof the topic addressed by the new publication lies in the fact that

Artificial Intelligence relies on data for its operation. Therefore,understanding and managing data provide some autonomy for users
facing increasingly powerful Large Language Models (LLM) in any
field of activity or knowledge.
Lamartine DaCosta & Wagner Gomes, 2024

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INTERVIEW  What is the motivation behind publishing a non-commercial
book on data and Artificial Intelligence (AI) in the field of
Physical Education and Sports?

The motivation b is not merely opportunistic. Rather, it’s adeliberate choice to empower users of AI by providing greater
participation and benefits. Unlike social media, where followers arecreated, our approach aims for equality in the use of AI tools.
Sharing, in this case, proves more productive than mere adherence. 

"In this case, how to strengthen the user?

Giving equal or greater emphasis to the data that feeds the so-called‘generative’ machines than to their usage procedures. This isbecause famous and impactful Chatbots (AI systems that ‘converse’with users) rely on input data for their operations: the higher thequality and quantity of data provided, the more efficient the results.
And data can – and should, whenever possible – be constructed andorganized by AI users, especially when dealing with organizational
entity management approaches and scientific research work. From
this understanding, the idea for the book being presented emerged.

Why were Physical Education and sports chosen for proposals
to enhance AI usage?

Due to extensive experience in generating data for national
diagnostics in Brazilian circumstances. Governments, whether
federal or state, have consistently overlooked Physical Activities –for health, education, or leisure – in various censuses and surveys.
Consequently, creative initiatives arose to obtain data, some on a Lamartine DaCosta & Wagner Gomes, 20242

large scale and even internationalized, now revisited in our book.
We delved into the past to reexamine data collection, structuring,and management strategies across different scales and environments
to create solutions for the present. Only one chapter specificallydescribes data generation through digital technology to provide acomprehensive and up-to-date framework for data strategies.

Can the book be considered an innovation?

No, because in the business environment, there are alreadyestablished routines for structuring and updating data of localizedinterest or business transactions. Internally generated data is
combined with AI tools, aiming for a certain level of user
independence and better results. This approach, known as “DataIntelligence,” is now common in various countries, especially in thebusiness sector. As for the newly released book, it was assumed as ageneral objective, adaptable to various activities across differententities, including companies.

Is it multidisciplinary, with a focus on Physical Education andsports as its experimental basis?

Certainly! The new publication does not focus solely on PhysicalActivities because we are in an era where disciplinary boundaries
are being eliminated. Digital technologies reinforce themultidisciplinary nature of knowledge, and AI operates in aninterdisciplinary manner. The new book reflects these innovative
trends, adhering to academic procedures and principles, including
the preservation of identity and copyright—both increasinglythreatened by AI. For these fundamental reasons, we chose to makethe book freely accessible online, with an inaugural circulation inboth Portuguese and English. 

Lamartine DaCosta & Wagner Gomes, 2024

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Could collaborative and somewhat socio-cultural choices indealing with AI create an interpretation of activism in a
publication that presents itself as technical and scientific?

There is indeed this risk, but the booklet (the chosen format for thework) aligns with the editorial offerings of the eMuseu do Esportein Rio de Janeiro. This institution stands out for its innovation,
entrepreneurship, and digitization, providing national andinternational exposure to books and projects similar to the one now
developed on data strategy. As authors, we are not activists but
rather innovators, committed to our original academic areas.

Can we say that there is an ethical stance in the booklet’s
proposals?

Yes, there is an underlying ethical intention that contextualizes thework, even though it remains implicit. The content is pragmaticallyand explicitly oriented, focusing on practical situations andoperational aspects useful for readers. In this sense, the booklet
serves a didactic purpose.

What format did you choose for the book?

After several experiments, we opted for a hybrid organization forthe booklet. In this approach, AI generates concise summaries andimages based on both human-authored texts and images. Put
simply, the content domain remains human-driven, complemented
by AI generative programs. Furthermore, this human-machine
hybrid composition includes a link to the author’s text and formallyreferenced works in each significant approach. In the final step, wedisplay a link to the cited text alongside the hybridcomposition. Ultimately, we’ve created a digital library accessible
to readers, with clear identification of intellectual property. 

Lamartine DaCosta & Wagner Gomes, 2024

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What stands out in the new book regarding a better and more
appropriate use of AI?

In essence, we are not opponents of AI, and our collaboration
doesn’t cover all its ever-expanding possibilities in today’s world.
Our focus primarily lies in understanding and mastering data, as
this approach directly relates to the practical lives of people andhuman organizations. It’s not about winning or losing; rather, weseek balanced outcomes.

Lamartine DaCosta & Wagner Gomes, 20245