Andrés Pedreño Muñoz

🎓 Data Science and Artificial Intelligence: the first master’s graduates at UniTS ❗ Alessio Gaia, Sara Carpenè, Luis Fernando Palacios Flores and Emanuele Ruoppolo are the first graduates of the Master’s degree program in #DataScience and #ArtificialIntelligence at the University of Trieste. “This international Master’s program, taught in English, offers training that uniquely combines two key areas of digital transformation in Italy: data science and artificial intelligence,” explains Luca Bortolussi, professor of Computer Science at UniTS. “The program brings together cutting-edge scientific topics and their applications in industrial, socio-economic, and medical fields, fostering strong connections and integration with both the business world and research.” The new graduates are in high demand in a rapidly growing professional sector: depending on the curriculum they followed, they can find employment as Data Science specialists or as Machine Learning and Artificial Intelligence experts. Another possible path is the PhD program in Applied Data Science and Artificial Intelligence (ADSAI) at UniTS, which trains highly qualified researchers and specialists in these fields, focusing on applications in the natural and life sciences, industry, smart cities, transportation, economics, and society. The University of Trieste was the first - and remains one of the few universities in Italy - to offer comprehensive training in AI, from the Bachelor’s degree in Artificial Intelligence and Data Analytics to the PhD level.

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UNESCO for the People – Driving Ethical and Inclusive AI for Humanity Artificial Intelligence is transforming our world. It shapes how we learn, work, and govern – yet billions of people remain excluded from its benefits. At the same time, the risks are mounting: biased systems, opaque algorithms, growing inequalities, and job displacement. This is not only a technological challenge; it is a human rights challenge.   UNESCO has taken the lead by adopting the first global Recommendation on the Ethics of AI – a landmark framework establishing universal principles for fairness, transparency, and accountability. But adoption is only the beginning. The real challenge is inclusive, equitable implementation: turning principles into action so AI serves humanity, not the other way around. At the UNESCO Global Forum on the Ethics of AI in June, scientists, policymakers, and innovators delivered a clear message: ethical AI cannot exist without strong investment in education, infrastructure, and global cooperation.   Throughout my campaign, one lesson stood out: AI must serve people – but first, we must imagine the societies we want, before technology decides for us. “UNESCO for the People” envisions a future where AI promotes peace, equity, and sustainability. Acting with courage, knowledge, and cooperation, we can make AI humanity’s greatest ally by: ​•​Supporting Member States in implementing the 2021 Recommendation on the Ethics of AI, the UNGA resolution adopted in March 2024 on “Seizing the opportunities of safe, secure, and trustworthy AI systems for sustainable development,” and the Pact for the Future. This includes embedding human rights into AI governance so that every system upholds human dignity, freedom of expression, non-discrimination, social justice, international law, and respect for cultural diversity. ​•​Reducing disparities by supporting developing countries through knowledge-sharing, capacity-building programs, innovative financing mechanisms, and the development of infrastructure, multilingual AI systems, and open educational resources – ensuring no community is left behind. ​• ​Fostering international solidarity through inclusive dialogue and joint research initiatives that unite governments, academia, industry, and civil society, while promoting human-centered and sustainable AI, rooted in open science. ​• ​Making AI a driver of inclusion by leveraging its potential in education, teacher training, youth engagement, local innovation ecosystems, and cultural heritage management. ​•​ Anticipating future challenges through a Global Foresight Mechanism to monitor technological trends and prepare societies for their implications, while developing ethical frameworks for frontier technologies such as neurotechnology, quantum sciences, and synthetic biology – ensuring a balance between risks and opportunities before risks outpace regulation.

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You may be interested to read about our editorial in Information Systems Frontiers on "Artificial Intelligence and the Bright Internet" We are living through a defining moment in the digital age. As global internet connectivity expands and AI becomes increasingly powerful and pervasive, societies are confronted with a dual reality. While these technologies offer transformative benefits—enhancing productivity, decision-making, and quality of life—they also introduce growing risks, from cyberattacks and disinformation to privacy intrusions and ethical failures in automated systems. In response to the complex challenges that may emerge from the adoption and appropriation of AI, the concept of the Bright Internet (Lee, 2015; Lee et al., 2018), and its natural evolution into Bright AI, presents a timely and transformative vision for building a secure, ethical, and human-centered digital future. Driving this emerging vision, we propose a Bright Internet and Bright AI framework—an integrative model that combines secure technologies, responsible AI ethics, and coordinated global governance to transform the internet landscape. The framework is anchored by six foundational pillars: Origin Responsibility: Ensures that digital content and AI-generated outputs are traceable to accountable sources, helping to combat anonymous threats and disinformation. Embedded within this pillar is the concept of source fairness, which calls for the inclusive and equitable creation of digital and AI content. Delivery Responsibility: Focuses on the role of intermediaries, such as internet platforms, service providers, and AI-driven distribution systems. This principle emphasizes the need for secure, ethical, and balanced content dissemination. Personalized AI: Reframes the user-facing pillar around the design of the framework, highlighting the importance of user awareness, digital literacy, and critical engagement with content, especially when interacting with AI-generated information. Privacy Protection: Advances privacy-by-design and data sovereignty. This principle ensures that individuals retain control over their data and that AI systems operate transparently, with user consent and minimal intrusion. Global Collaboration: Emphasizes the necessity of international cooperation among governments, industry, and civil society to harmonize AI and internet governance. AI Principles: Stresses the importance of explainable, fair, and accountable AI. This pillar advocates clear ethical boundaries to prevent misuse, bias, and harm, ensuring that AI remains aligned with human values. It was really great to learn from the collaboration with Indranil Bose, Gene Moo Lee, LEUNG Alvin, Dan J Kim. Also grateful to Prof. Jay Kyu Lee and Prof. Raghav Rao for their feedback for shaping this editorial. https://lnkd.in/dYuFUNfA

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