DSC Europe 24 SCHEDULE

Description:   Nuclear AI focuses on the transformative potential of artificial intelligence in the nuclear industry, from enhancing safety protocols to optimizing energy production. This session will explore how AI technologies are being integrated into nuclear power plants for predictive maintenance, real-time monitoring, and risk assessment. Attendees will also learn about the role of AI in advancing nuclear research, ensuring safer handling of materials, and improving decision-making processes in high-stakes environments. Join us to discover how AI is driving innovation and efficiency in the nuclear sector.

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10:00 – 10:15   AI in Nuclear Knowledge Management

Riccardo Cocci
Product Manager @ Ask for the moon

At Ask for the Moon, we recognize that expertise is the key to driving business performance. However, much of this knowledge—especially tacit know-how gathered from experience—is hard to access, often trapped in employees’ minds. Workers lose up to three hours daily searching for answers. Our AI-powered platform bridges this gap by connecting those who possess knowledge with those who need it. When a question is posed, our AI notifies the right experts within the organization, enabling them to share their expertise quickly, accelerating projects, and ensuring that knowledge circulates and benefits everyone.

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10:15 – 10:30   Prediction models used for maintenance & sales in nuclear power plant

Peter Kertys
Head of Data Science @ Slovenské elektrárne

Short introduction of deployed simple AI solutions in nuclear power plant without safety impact. Presented usecases inlcude approach to predictive maintenace via data collection, model creation and self learning setup. Additionaly power prediction models based on weather forecast used for sales would be presented.

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10:30 – 10:45   TBA

Jovana Knezevic
Research Associate @ Faculty of Sciences, University of Novi Sad

TBA

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11:00 – 12:00   Panel duscussion

Moderator: Jovana Knezevic
Research Associate @ Faculty of Sciences, University of Novi Sad

Description:   Ethical Considerations in Data Science and AI addresses the critical challenges surrounding the responsible development and deployment of AI technologies. This session will explore topics such as the preservation of linguistic diversity in the age of large language models (LLMs) and the ethical implications of biased training datasets. We will also examine global legal frameworks governing AI, with a focus on balancing innovation with ethical oversight. Attendees will gain insights into how developers, policymakers, and researchers can collaborate to ensure AI systems are both inclusive and aligned with societal values.

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12:00 – 12:15   A Duty to Digitally Preserve Linguistic Diversity in the Age of LLMs

Vanja Subotic
Postdoctoral Researcher @ University of Belgrade – Faculty of Philosophy

The quality of training datasets for LLMs varies significantly across different natural languages. I focus on the challenge related to the preservation of cultural heritage: LLMs struggle to fully meet the linguistic needs of ethnic communities speaking low-resource languages, as chatbots based on these models are often less efficient and inclusive. This issue has broader implications: unless collective action is taken to align LLM performance with principles of linguistic diversity and justice, significant cultural nuances risk being lost through cultural appropriation. I propose a theoretical framework assigning responsibilities to developers, decision-makers, and academics on how to digitally preserve linguistic diversity. I will also outline practical steps for achieving this, drawing on the results of workshops I conducted to evaluate ChatGPT’s performance on Serbian literary texts, as Serbian is also considered a low-resource language.

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12:15 – 12:30   Legal and ethical challenges in contemporary AI development and how to deal with them

Dusan Pavlovic
Legal and Ethics Expert – Data Protection and AI

The talk topic presents the latest regulatory development of AI and the presentation of the most significant regulatory requirements. The focus will be on Europe (EU), without neglecting current developments in the US, Canada, China, and the rest of the world. By highlighting recently enacted regulations, the talk attempts to outline similarities and differences in the regulation of AI on a global level. Ethical aspects of regulation could show what the greatest social concerns are and how to mitigate them. This will result in recommendations for building appropriate AI governance mechanisms that can ensure the safe development and deployment of AI but also increase its effectiveness.

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12:30 – 12:45   The Power and Responsibility of Machine Learning: Ethical and Responsible AI in Action

Sray Agarwal
Director Responsible AI @ Fractal

Over the past decade, machine learning has become ubiquitous, transforming our lives in ways that were once unimaginable. Machines now make decisions that used to require significant human effort, but at much faster speeds and reduced costs—with minimal human oversight. As a result, AI systems are not only shaping our lives more than ever before but are also facing increased scrutiny from regulators and user rights advocates. The saying “with great power comes great responsibility” has been echoed throughout history, from the French Revolution to superhero comics. Today, this adage has never been more relevant. The immense power of machine learning is now accessible to anyone developing software, influencing everything from financial access that can alter someone’s life trajectory, to medical diagnoses that could extend or reduce life expectancy. Even the social media content we consume, driven by AI algorithms, can engage us or polarize us by reinforcing existing beliefs. In this context, it is crucial to approach AI through the lens of Responsible and Ethical AI (RAI). This involves focusing on key principles such as: Fairness: Ensuring discrimination-free algorithms. Explainability: Making AI decisions understandable from data, model, business, risk, and counterfactual perspectives. Privacy: Incorporating privacy by design in both systems and algorithms. Accountability: Holding AI systems and developers accountable for their outcomes. Sustainability: Developing AI systems that are environmentally and socially sustainable. This talk will highlight real-world examples from various domains, providing actionable strategies for implementing Responsible AI. It will also explore how these principles extend to the rapidly evolving world of Generative AI (like ChatGPT, Bard, etc.), ensuring that the next generation of AI systems is both powerful and ethical.

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12:45 – 13:00   Deepfakes and the Law: The Battle for Trust in the Age of AI

Tijana Zunic Maric
Attorney at Law – Partner @ Zunic Law Firm

AI-generated content is reshaping how personal and corporate reputations are managed online, posing challenges in distinguishing real from fake. UCL has ranked deepfakes as the most serious AI-related crime threat among all forms of AI-generated content. Its impact spans issues from image-based sexual abuse to political manipulation. This session will explore the rise of deepfakes, its applications, legal implications in the EU, challenges for digital businesses, and strategies for mitigating risks and managing impacts considering recent legislation, including the EU Digital Services Act and the EU AI Act.

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13:00 – 14:00   Panel duscussion

Moderator: Jelena Djukanovic
Attorney At Law @ Zunic Law Firm

Description:   AI is not just changing the way we learn—it’s reshaping the entire educational landscape and beyond. This session will take you on a journey through the powerful role AI plays in personalizing education, enhancing student engagement, and streamlining assessments. As AI evolves, its influence reaches far beyond traditional classrooms, transforming non-technical professions and offering new pathways for productivity across industries.

We will explore how AI is preparing the next generation of experts, not just in technical fields but also in interdisciplinary areas essential for the digital economy. You’ll hear about innovative educational models that blend AI with management and economics, creating professionals ready to navigate the complexities of a digital future.

Finally, we’ll look at AI’s role in academic research, particularly through generative AI tools that are redefining how scientific writing is done, speeding up the process while maintaining quality. Throughout this session, we’ll tackle the ethical questions and inclusivity challenges that come with integrating AI into education, ensuring we harness its power responsibly for a better, more equitable future.

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15:00 – 15:15   AI in EdTech: Personalizing Learning, Assessing at Scale, and Boosting Engagement

Luka Anicin
CEO @ Datablooz

Explore how AI is transforming education by enabling personalized learning experiences, automating assessments, and fostering student engagement. This session will delve into practical examples of AI-driven platforms, tools, and strategies that help educators create more tailored and efficient learning environments. Attendees will gain insights into how AI can enhance curriculum delivery, streamline grading, and provide real-time feedback, while addressing ethical concerns and promoting inclusive education for diverse learners. Discover actionable ways to implement AI in your educational setting for better outcomes.

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15:15 – 15:30   Lessons from the Trenches: AI as a Teaching Assistant and a Curriculum Game-Changer

Nebojsa Vasiljevic
Director of AI @ Fondacija Petlja

Our learning platform, Petlja.org, offers free and open online courses covering most IT-related subjects for K-12 education in Serbia. Over the past two years, we have explored several directions for developing AI on our platform and within our content. Ultimately, we focused on two key initiatives: developing an AI assistant for teachers and launching a new series of online courses, Instructor, designed to integrate AI into the curriculum. The AI assistant for teachers is entering its final pilot phase, and the first course in the Instructor series is set to be released soon. This talk will highlight our most intriguing findings and the open questions we continue to explore.

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15:30 – 15:45   New Education Perspectives – How to Profile Experts for a Digital Economy Era

Ivan Lukovic
Full Professor @ University of Belgrade – Faculty of Organizational Sciences

Nowadays, we face a lack of strongly educated and interdisciplinary oriented experts showing an appropriate level of knowledge both in Computer Science, Software Engineering, and Artificial Intelligence, as well as in the disciplines of Management and Economics, for a specific problem domain. In this talk, we address issues on how to come to more flexible and interdisciplinary oriented study models capable of producing various forms of digital managers, as a new profile of experts, ready to cope with digital economy and digital transformation in a modern society. Massive deployment of such experts is a way to significantly raise the level of organization maturity regarding capabilities for: information management, quality management, and big data analytics.

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15:45 – 16:00   Hello Claude. I am a scientist, how can you help me?

Dijana Oreski
Associate Professor @ University of Zagreb, Faculty of Organization and Informatics

This talk explores the potential of generative artificial intelligence (genAI) in higher education, with a particular focus on its applications in scientific writing. As genAI technologies become increasingly sophisticated, they offer various opportunities to enhance research productivity. The presentation will cover: (i) an overview of current AI tools for scientific writing, including literature reviews, drafting manuscripts, and editing, (ii) the importance of prompt engineering in effectively using genAI tools for scientific tasks.

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16:00 – 17:00   Panel duscussion

Moderator: Ivan Lukovic
Full Professor @ University of Belgrade – Faculty of Organizational Sciences