List of tracks

1. Open Track
(Kiyoshi Murata, Meiji University, kmurata@meiji.ac.jp; Ana María Lara Palma, Universidad de Burgos, amlara@ubu.es; Yohko Orito, Ehime University, orito.yohko.mm@ehime-u.ac.jp)

Any topic in computer ethics, broadly construed. Topics related to the computer ethics field, conceived broadly, to include philosophical, professional, and practical aspects of the field.

2. Values in the Smart Technology Revolution
(Adam Poulsen. Brain and Mind Centre, The University of Sydney. Sydney, Australia. adam.poulsen@sydney.edu.au; and Oliver Burmeister. School of Computing, Mathematics and Engineering, Charles Sturt University. Orange, Australia, oburmeister@csu.edu.au)

Until recently human values have shaped technology, and technology has shaped human values. But with the advent of OpenAI’s ChatGPT a revolution that has only been theorised previously is in its embryonic stages. AI values and how they might shape human societies in the future need to be proactively considered, rather than waiting for this revolution and then reacting to it. As smart technology becomes increasingly integrated into our lives, it is crucial to understand the interplay between values and smart technology design, development, implementation, and use. The smart revolution raises questions about the impact of smart technology on values, and the development and application of ethical standards, guidelines, and codes for the use of smart technology. Best practices for designing smart technologies that align with human values and consider the role of government, organisations, communities, and individual end-users in realising value sensitive smart technology all require deep thought. Thus, this track is open for submissions that explore smart technology and values, such as trust, freedom from bias, privacy, autonomy, environmental sustainability, informed consent, human welfare, AI values, and more.

3. Smarter Security- Resilience and Recovery
(Shalini Kesar, Southern Utah University, kesar@suu.edu; and Sabina Szymoniak Czestochowa University of Technology, sabina.szymoniak@icis.pcz.pl)

Increasingly complex tech stacks result in more security vulnerabilities. At the same time, there’s a talent shortage, which inhibits an organization’s ability to protect itself. Given the changes in technology, digital infrastructure is now business-critical infrastructure where cybersecurity best practices should go beyond just “identify, protect, detect, and respond.” Cybersecurity needs to consider not only specific data or IT systems, but also the risks posed to business processes. For example, implications of artificial intelligence and intelligent automation that can reduce the cost and time of security operations significantly. This track invites papers that discuss ethical implications, risk and resilience because standard business continuity arrangements are insufficient in the face of increasing cyber breaches.

4. Smart Education: transforming learning in the digital age
(Mario Arias-Oliva, Complutense University of Madrid, mario.arias@ucm.es; Antonio Pérez-Portabella, Universitat Rovira i Virgili, antonio.perezportabella@urv.cat; Teresa Pintado, Complutense University of Madrid, tpintado@ucm.es; Joaquín Sánchez Herrera, Complutense University of Madrid, joaquins@ucm.es)

The theme of this year’s conference focuses on how education and pedagogy styles need to be modified to cater for the new and advanced technology changes and dependency. Not all students receive the education necessary to help them express their full potential be it due to a lack of resources or access to high quality teaching. The lack of high-quality educational material and teaching aids and methodologies and non-availability of objective feedback on how they can become even better teachers, deprive our teachers from achieving their full potential. This track particularly welcomes papers focusing on concepts, principles, and techniques from an educational perspective for enhancing the potential of all the stakeholders in the education system.


5. Marketing and Smart Ethics in the digital world
(Jesús García de Madariaga, Universidad Complutense de Madrid, egarci@ucm.es; Alba García Milon, Universidad de La Rioja, alba.garciam@unirioja.es; Natalia Medrano Sáez, Universidad de La Rioja, natalia.medrano@unirioja.es; Cristina Olarte Pascual, La Rioja University, cristina.olarte@unirioja.es; Eva Reinares, Universidad Rey Juan Carlos, eva.reinares@urjc.es)

In recent years the presence of technology in everyday life has accelerated and new technologies have entered directly into the way we manage personal and professional aspects of our lives. From a positive point of view, available information in digital format (blogs, social networks, etc.) helps us to optimize the process of selecting the best products and make better decisions. Potential benefits are e.g., cost savings, immediacy, or time-saving. However, there is a controversial debate about the ethical aspects and the moral dilemmas that are generated between producer/consumer and buyer/seller. In this track, the main focus lies on moral dilemmas in marketing, such as privacy, online pricing ethics, ethics in online promotion, controversial marketing strategies, media ethics, consumer manipulation/target emotions, social media emotion detection, expectation of consumers towards digital communication, ethics and ethical standards from both the consumers and enterprises point of view and the different cultural, educational and especially political background of regions and how they can affect marketing worldwide, among others. All interested participants in this track are invited to share their ideas, experiences, and research results.

6. Explainable Artificial Intelligence (XAI) and Ethics
(Ramón Carrasco, Complutense University of Madrid, ramoncar@ucm.es; Orlando Lima Rua, Polytechnic of Porto, orua@iscap.ipp.pt; Jorge Pelegrín-Borondo, La Rioja University, jorge.pelegrin@unirioja.es; Pedro Cuesta Valiño, Universidad de Alcalá de Henares, pedro.cuesta@uah.es; Pablo Gutierrez Rodríguez, León University, pablo.gutierrez@unileon.es)

Can machines think? This question was proposed by Alan M. Turing (1950) in the mid-twentieth century. The answer to this question is the proposal of the so-called Turing test. In this test, Artificial Intelligence (AI) is considered the way of operating that imitates the intelligent behavior of human beings. From then until now, AI has been overtaking humans in tasks for which intelligence and creativity were supposed to be required: strategy games, image recognition, medical diagnoses, music composition, etc. Everything has been thanks to the improvement of algorithms, especially those known as black box algorithms, i.e., whose logic is not understandable by a human being. We therefore find ourselves in a paradox in which decision-making will increasingly be based on an AI that we cannot understand. Going even further, we can say that a society directed by a technology that it is unable to understand is destined to lose its freedom. The issue of explainability of algorithms has given rise to a new area called Explainable Artificial Intelligence (XAI). This need for interpretability is legislated in some sectors such as finance, but to what extent is society aware of this need for interpretability? This session will discuss advances in XAI and its relation to the ethics of algorithms, interpretation of possible biases of algorithms, social awareness of the need for interpretability and the need for legislation on this issue, in short any aspect of interpretability of algorithms that challenges individuals, organizations or society as a whole.

7. Reducing Gender Gap as We build an Inclusive Community within a Smart City
(Shalini Kesar, Southern Utah University, kesar@suu.edu; and Graciela Padilla Castillo, Complutense University of Madrid, gracielp@ucm.es)

This track is a platform where we invite you to share ideas, stories and research that advocates the importance of bridging the gap of women in the technology workforce. Research and reports indicate that it is important to create a strong community where like-minded women in tech, share ideas, identify role models, find mentors and mentees, engage in global discussions and celebrate the power of face-to-face interactions. This not only inspires people and organizations but also can lead to deliver actionable insight, guidance and advice through expert-led technical role models. It also creates an environment where skills development can be enhanced and creates a safe platform to elevate diverse voices. Such community building can support inclusivity and learn how you can play an integral part in creating an inclusive industry that benefits not only women, male allies and organization, but contributes to a more equitable society. We cannot create a Smart Society if it is not for all of us.