In the swiftly evolving landscape of the artificial intelegence technology, returning to the incipit of this revolutionary invention's precise moment of origin is complex. However, in the third decade of the 20th century, the earliest materialisation of such ideas and concepts occurred in literature. Namely, the term 'robot', found for the first time in Karel ?apek's 1921 play R.U.R. (Rossum's Universal Robots), has been representing autonomous humanoid creatures made of artificial matter, and featuring, etymologically speaking, independent and unpaid workforce (from Czech word 'robota' -forced/unpaid labour).

The new concept displaced older words such as 'automaton' (from ancient Greek ', acting of one's own will.') or 'android' (human-like machine controlled by a computer) and slowly led to what we nowadays call AI. Starting from Rosenblatt, the father of deep learning, and Turing (the wartime codebreaker at Bletchley Park and founder of computer science), considered the father of AI, the evolution of computer science has been predicted to grow faster and faster through the second half of the 20th century. 

Considering the video above and the latest achievements and AI developments, as many scientists and knowledgeable people in the field would say, the advancement is still at a 'conservative pace'. It is fascinating that assuming the technological development, layman's predictions of the past century's early sixties do not fully correspond to exaggerated expectations of technological advancements and fantasies about the future. However, computer science has made remarkable steps in the last decade, especially in the previous few years, with the emerging breakthroughs in AI involving a complex interplay of technical, legal, economic, and societal factors.

The launch of ChatGPT last year was the result of countless AI developments. These developments accelerated in the last 10 years with probabilistic AI, big data, and dramatically increased computational power. Neural networks, machine learning (ML), and large language models (LLMs) set the stage for AI's latest phase, which brought tools like Siri and Alexa, and, most recently, generative pre-trained transformers, better known as GPTs, which are behind ChatGPT and other latest tools. ChatGPT started mimicking human intelligence by drafting our texts for us, answering questions, and creating images.

Diplo team has prepared an extensive analysis of main developments in 2023. Join us in our comprehensive analysis and delve deeper into trends that shaped the year behind us.

2023 Recap of 12 AI and Digital Developments

1. Four seasons of AI in 2023

2. Digital geopolitics: Chips, Cables, Satellites

3. Technologies: Less hype, more impact

4. The IBSA digital moment(um)

5. Digital cooperation: Build-up for the Global Digital Compact

6. Human rights online: Protecting what makes us human

7. Content governance: Between Twitter experiments and TikTok geopolitics

8. Cybersecurity: Preserving the internet in difficult times

9. Digital economy: Is the bubble about to burst?

10. Digital standardisation: Governance through technical means 

11. Data governance: Moving away from a one-size-fits-all approach

12. The future of work: Hybrid is the new normal

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