The final program will be posted by 15th March 2024


Prof. adya surbhi

Charting the Course: AI’s Confluence with the Legal System

With society standing at the precipice of a new era outlined by the rapid advancement in Artificial Intelligence (AI), there is a pressing need to address the complexities and obstacles harbored within the legal territory regarding the assimilation of these technologies. The integration of AI and the law has become a transformative force that has the potential to reshape the practice of law and redefine the boundaries of the legal framework. 

The talk explores the multifaceted relationship of AI with the law and will highlight the opportunities and challenges that arise from this intersection. There is an imperative need for the harmonization of the impact that AI can have on the legal sector. The talk will focus on the exploration of the cutting-edged Generative AI technologies, showcasing their capacity to reshape the way the legal regime operates. Within this, there will also be an analysis of technology, law, and societal dynamics to comprehend the prospective implications of AI deployment within the Legal system.

In conclusion, this keynote presentation provides a thoughtful understanding of the intricate interplay between AI and law, presenting a balanced perspective that not only acknowledges the potential advantages but also confronts the inherent challenges posed by the integration of AI.



Teaching and Learning Languages in the Age of AI

Artificial intelligence (AI) has advanced at an astounding rate in recent years and its influence upon society is seen far and wide. For example, machine translation (MT) has become considerably more accurate since the adoption of neural network technology, which has resulted in an increase in its uptake. Similarly, the release of advanced chatbots, such as ChatGPT, has led to intense public interest. What is more, we have entered an AI integration phase in which tools like MT and ChatGPT are being built into more familiar, existing technologies, from email and word processors to apps, databases, and beyond. These developments bring many exciting opportunities to foreign language education, but also create challenges that need to be addressed. This session briefly introduces some key forms of AI that are relevant to language learning and teaching, and looks at their impact from the perspective of learners, teachers and institutions. AI can be of great benefit for language learning and teaching if used well, but knowledge and skills are needed to harness its potential and avoid pitfalls. This session will put forward some practical ideas on how to use AI in formal education and for self-directed learning, and highlight ways that it could be potentially misused, with suggestions on how to reduce that likelihood. It will also address the importance of guidance and raise questions over who should be involved in creating and approving AI usage guidelines. 

Prof. dr. peter ilic

AI and the Evolution of Pedagogy: Opportunities, Challenges, and Strategies for the Next Generation of Education

As we stand on the precipice of a new era brought about by extraordinary advances in artificial intelligence (AI), it is important to recognize the apprehension or uncertainty educators may feel towards embracing such innovative technologies in their classrooms. This keynote address begins by acknowledging these concerns and delving into the transformative potential AI holds for educational frameworks worldwide.

The presentation examines the transformative influence of technology in education, emphasizing the importance of balance when wielding its power, and providing a grounded outlook on its future role. It centers on pioneering technologies such as the Generative Pre-trained Transformer AI, showcasing their capacity to reshape pedagogy and enhance classroom experiences globally. The intertwining of education, technology, and society is discussed, particularly with the advent of artificial intelligence. The urgent need to grasp the potential impacts of AI integration in educational environments is highlighted. Unveiling the formative tensions arising from integrating AI into educational systems, this keynote addresses the importance of managing potential benefits and risks.

In conclusion, this keynote delineates the dynamic interplay between AI and education. It presents a balanced perspective, recognizing the opportunities provided by AI while emphasizing the necessity of understanding and mitigating its inherent challenges. This presentation will resonate with researchers, educators, and policymakers eager to stay informed and proactive amidst the rapidly evolving landscape of educational technology.


prof. dr. mohamed hamada

Managing Information Overloading with ChatGPT and Recommendation Systems

In the digital age, the abundance of information often leads to a state of information overload, where the sheer volume and complexity of data available exceed an individual's or organization’s capacity to process and make informed decisions.

Recommendation systems can alleviate information overload by filtering vast data to provide personalized, relevant content to users, streamlining their decision-making process. On the other hand, ChatGPT can mitigate information overloading by offering concise, contextually relevant responses, and synthesizing complex information into digestible insights. Integrating ChatGPT and recommendation systems can transform information management practices, leading to more intuitive and manageable digital environments. It can tackle information overload by combining personalized dialogue with tailored content curation for streamlined information delivery. Resulting in a reduction in information overload, enhanced user experience, and personalized content delivery. This presentation will address recommendation techniques, ChatGPT, and the possibility of their integration to handle the information overloading. 


Challenge of Regulatory Disconnection in Artificial Intelligence

The challenges that technology poses to law is an old problem. It has been, for example, known that technology moves faster than law. This is called the ‘pacing problem’. When this happens law and regulation often fall hopelessly behind.

However, if we think that the challenges that technology poses to the law are limited to the pacing problem, that would be incorrect. The nature of these challenges is more complicated and continues to evolve. For example, technology can bring changes to the very assumptions upon which the law was framed. The way social media has forced the Governments and courts around the world to rethink free speech is a great example. Social media made it possible for speech to be weaponized through targeted trolling and misinformation campaigns in a way not possible without the help of technology. Thus, the term regulatory disconnection was coined to encapsulate the different forms of challenges technology poses to law.

In this talk, I want to highlight that AI creates a disconnection of a unique and novel kind. For the first time, the ability to make evaluative decisions has been automated and delegated to artificial neural network-based AI systems. This means that the decisions taken by such AI systems cannot be causally attributed, nor understood by any human. The great challenge of our times is to rethink the foundations are laws to accommodate this new reality.

ETLTC & ACM Chapter on eLearning & Technical Communication 

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