Armando Da Silva Vieira, Lecturer of Applied AI In May 2026, researchers from Oxford, Google DeepMind, OpenAI, Anthropic, and Stanford published a paper (https://arxiv.org/html/2605.10310v1) with an unusually candid premise. AI alignment, they argued, has been dominated almost entirely by preventing harm — safeguards, controllability, compliance. Necessary, but incomplete. Like a psychology that only studies illness […]

Lecturer of Applied AI Armando Vieira shares his thoughts on Medium, an online publishing platform. The dominant discourse on AI alignment rests on a quiet but catastrophic assumption: that morality can be imposed on systems that do not experience anything. The debate unfolds as if values were transferable objects — encoded, optimized, constrained — rather than lived […]

The dominant paradigm in modern AI rests on a deceptively simple premise: intelligence emerges from minimizing prediction error across vast datasets. We train neural networks to be accurate, to match patterns, to reduce loss functions. Yet this approach, for all its empirical success, may be fundamentally misaligned with the nature of intelligence itself. Here is […]

Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only on a local demographic level but also on a global scale. In the modern Internet and online social media era, protests have increasingly utilized digital platforms to facilitate discussions, coordinate actions, and spread respective agendas. […]

With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information has changed dramatically. These platforms have, however, also led to the problem of misinformation, which can quickly spread on a global scale, and once it has been disseminated, it can be hard to stop. It […]

Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph problems, secure multiparty computation (SMC) presents a promising approach to performing these functionalities. This article delves into the notable advancements in privacy-preserving parallel algorithms recently introduced in a Ph.D. thesis. By integrating graph algorithms with […]

Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is intended to remind everyone of the foundations of algorithms and data structures but also to go beyond and teach some more advanced concepts (like succinct data structures, for example).  The course aims at linking different […]

On the 13th of December Lidia Feklistova defended her PhD thesis on „Learners of an introductory programming MOOC: background variables, engagement patterns and performance” We constantly improve our knowledge and skills to be successful. Participation in massive open online courses (MOOCs) supports ongoing professional development and lifelong learning. Keeping in mind the huge number of participants in […]

Machine Translation is a quickly growing field of Natural Language Processing (NLP) that automatically translates a text from one language to another without human involvement.  In recent years, the use of machine translation systems has increased dramatically. Today machine translation is used not only by translation agencies but also by people using online machine translation […]

The cornerstone of democracy is the right for voters to participate in free and fair elections. However, securing elections is a non-trivial task due to the conflicting security requirements.  On the one hand, to provide the freedom to vote, it should not be possible to coerce voters into voting for a specific candidate. Therefore, the […]

Estonia does not have many natural minerals or a significant population like many wealthy countries, but it has the most unicorns per capita globally. As most unicorns use technology to offer solutions for solving problems, we need more IT practitioners who can use computation power to solve various algorithmic issues.  “Thinking computationally is not anymore […]

The original article (in Estonian) by Airika Harrik was published in Novaator. Estonia has used the ID card system as a means to identify its citizens for almost 20 years. During those years, several security issues have emerged. A new PhD dissertation from the University of Tartu has shed light on those issues and pointed […]