This paper proposes that Artificial Intelligence (AI) progresses through several overlapping generations: AI 1.0 (Information AI), AI 2.0 (Agentic AI), AI 3.0 (Physical AI), and now a speculative AI 4.0 (Conscious AI). Each of these AI generations is driven by shifting priorities among algorithms, computing power, and data. AI 1.0 ushered in breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. AI 2.0 built on these foundations through real-time decision-making in digital environments, leveraging reinforcement learning and adaptive planning for agentic AI applications. AI 3.0 extended intelligence into physical contexts, integrating robotics, autonomous vehicles, and sensor-fused control systems to act in uncertain real-world settings. Building on these developments, AI 4.0 puts forward the bold vision of self-directed AI capable of setting its own goals, orchestrating complex training regimens, and possibly exhibiting elements of machine consciousness. This paper traces the historical foundations of AI across roughly seventy years, mapping how changes in technological bottlenecks from algorithmic innovation to high-performance computing to specialized data, have spurred each generational leap. It further highlights the ongoing synergies among AI 1.0, 2.0, 3.0, and 4.0, and explores the profound ethical, regulatory, and philosophical challenges that arise when artificial systems approach (or aspire to) human-like autonomy. Ultimately, understanding these evolutions and their interdependencies is pivotal for guiding future research, crafting responsible governance, and ensuring that AI transformative potential benefits society as a whole.

Introduction to equality, diversity and inclusion and development of your code of conduct – Debra Fearnshaw (University of Nottingham): This session will explore what equality, diversity and inclusion means, what EDI can look like in research and why this is important. The session will also have an interactive element to help you create a code of conduct for your event. Bio: I am an experienced Programme Manager, currently managing 2 EPSRC research projects plus additional projects within my portfolio to support my passion for improving research culture and embedding equality, diversity and inclusion into research. Recent projects include a secondment to EPSRC to complete a strategic EDI project and a Faculty of Engineering review of REF Impact and how future portfolios can become more diverse and inclusive. I am currently working on a research culture project to raise the visibility and recognition of research enabling roles.

We are pleased to announce that this summer AI4SD will be running a hybrid residential summer school from the 20th-24th June 2022 at the University of Southampton. This summer school will introduce you to basic python programming, different areas of machine learning including mathematical foundations for ML, classification and clustering, kernel methods, introduction to deep learning and case studies in chemistry including reinforcement learning in chemistry. There will also be talks to upskill scientists in other relevant areas including Group Management, Presentation Skills, Research Data Management, Referencing, LaTeX, GitHub and Ethics. The summer school will include a hackathon where students can compete in teams to solve the same problem in the best way. Group presentations will take place on the friday and prizes will be given to the winning team.

If you are interested in sponsoring our event series, please contact Dr Samantha Kanza. Arctoris is an Oxford-based research company that is transforming drug discovery for biotech and AI-driven drug discovery companies, pharmaceutical corporations and academia. Arctoris developed and operates Ulysses, the world's first fully automated drug discovery platform. Accessible remotely, the platform enables researchers worldwide to perform their research rapidly, with more accuracy, transparency, and full reproducibility. Arctoris accelerates drug discovery programmes from idea to clinical testing, combining human ingenuity with the power of robotics.

This year marks the 30th anniversary of the adoption of the Convention on the Rights of the Child (CRC). As the global community reflects on progress made to date, one change from the world of 1989 will significantly impact the next 30 years for children's rights: artificial intelligence (AI). Recent progress in the development of AI systems are expected to profoundly influence life and work in the 21st century, raising both hopes and concerns for human development. As UNICEF explores the many compelling reasons to use AI for children's development (such as education, health and social welfare), it is also concerned about a world in which AI remains unchecked. AI systems, often working as "black boxes", raise issues of privacy, accountability, recourse and exclusion, particularly for those who are least aware of their rights in the digital age: children. Without a human-centered foundation to AI development, children's rights to learn, play and participate freely are at risk.

"Using AI 4 HR opened my eyes and created for me a global vision for how artificial intelligence is being used across all areas of HR. I recommended our entire team of HR enroll in this course." "Using AI4HR was a great opportunity to have a first contact with AI in all applications for HR and this gave me a high-level view on the topic. The best part was being able to visualize how to apply AI for HR through real world case studies and seeing what other people and other companies are already doing and the results they were experiencing in their organization. "As a company, we are starting on our journey to deploy artificial intelligence and I found the online course Using AI4HR to be inspirational, practical and a great way to network with other HR leaders on the journey.

Let's connect Artificial Intelligence with Peace Education, evolving from data, information, knowledge to Wisdom, to bring a Greater Good to all present and future generations. Peace Education is an ethical, useful and necessary tool to help all the Human Beings to develop, for example, Compassion, Love, Joy, and Equanimity toward ALL BEINGS, needed to achieve all the SDGs 2030 Sustainable Development Objectives. Because Artificial Intelligence AI is the most modern communication and interaction tool, the AI Community has a very important opportunity and role to facilitate, optimize and accelerate the transformation process of Humanity towards Peace, the 16 SDG 2030, to evolve from a knowledge society to the Wisdom Society, during the next 11 years. The AI 4 Peace Education Movement is a collective action initiative started February 19, 2019, after decades of worldwide R D in ICTs Innovation, Peace Education and Human Development, did by an experienced multidisciplinary team.

NITI Aayog is partnering with Perlin – a Singapore-based AI start up – to launch the "AI 4 All Global Hackathon." NITI Aayog is inviting developers, students, start-ups and companies to develop AI applications to make significant positive social and economic impact for India. With the vision to further expand the idea of'Artificial Intelligence, AI for All' articulated in the National AI Strategy, NITI Aayog organises hackathons to source sustainable, innovative and technologically-enabled solutions to address various challenges in the development space. The challenge question seeks to develop solutions in Distributed Computing and Privacy Preserving techniques, such as multi-party computation, in AI. The objective of this hackathon is to promote awareness and subsequently develop solutions that deliver the twin benefit of efficient computing to address the infrastructure challenges, while also not compromising on privacy of data for training AI algorithms.