AI Developments
A Timeline of Key Milestones
A chronological overview of major developments in artificial intelligence, foundational concepts, technical innovations, the shift toward public access, key regulatory responses, and expressed concerns.
Turing Proposes Machine Intelligence Test
Alan Turing publishes “Computing Machinery and Intelligence,” introducing the Turing Test as a proposed measure of machine intelligence.
Dartmouth Conference Establishes AI as a Field
The Dartmouth Conference formally establishes artificial intelligence as a field of study. Organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, the gathering proposes that every aspect of learning can in principle be described precisely enough for a machine to simulate it.
Rosenblatt Develops the Perceptron
Frank Rosenblatt develops the Perceptron, an early neural network capable of learning to classify inputs. It represents the first implementation of a connectionist learning algorithm.
ELIZA: One of the First Chatbots
Joseph Weizenbaum creates ELIZA at MIT, one of the first chatbots. ELIZA simulates a Rogerian psychotherapist by using pattern matching and substitution to process natural language input.
Expert Systems and First AI Winters
Expert systems see practical use in commercial and industrial settings, encoding domain-specific knowledge into rule-based programs. During this same period, “AI winters” occur as funding and enthusiasm contract due to limited computing power and unmet expectations.
Early Autonomous Vehicle Demonstration
Ernst Dickmanns at the Bundeswehr University Munich demonstrates early autonomous vehicle technology, equipping a Mercedes van with cameras and processors that allow it to drive on empty streets at speeds up to 55 mph.
Deep Blue Defeats Kasparov
IBM’s Deep Blue defeats reigning chess world champion Garry Kasparov in a six-game match. The event marks the first time a computer defeats a sitting world champion under standard tournament conditions.
AlexNet Launches the Deep Learning Era
AlexNet, developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, achieves a decisive victory in the ImageNet Large Scale Visual Recognition Challenge. The result demonstrates the effectiveness of deep convolutional neural networks and GPU-accelerated training.
Transformer Architecture Introduced
Researchers at Google publish “Attention Is All You Need,” introducing the Transformer architecture. The paper proposes an approach based entirely on attention mechanisms, dispensing with recurrence and convolutions. The Transformer becomes the foundation for subsequent language models including BERT, GPT, and their successors.
GPT-3 Released via API
OpenAI releases GPT-3 via API. With 175 billion parameters, it demonstrates capabilities in text generation, translation, summarization, and code writing that exceed previous systems by a significant margin.
ChatGPT Brings Generative AI to the Public
OpenAI launches ChatGPT publicly in November, bringing generative AI to a broad audience. The conversational interface reaches an estimated 100 million users within two months of launch.
Multimodal Models and First Regulatory Frameworks
Multimodal models such as GPT-4 are released, capable of processing both text and images. Anthropic releases Claude, Google launches Gemini, and Meta releases open-weight Llama models. The European Union begins implementing its AI Act, the first comprehensive regulatory framework for artificial intelligence.
Reasoning Models, Agentic Systems, and OpenAI's Corporate Conversion
Advances in reasoning models and agentic systems continue. Models demonstrate improved capabilities in multi-step problem solving, code generation, and tool use. In October 2025, OpenAI converts from its original nonprofit structure to a public benefit corporation, a move that becomes central to legal challenges over the company's founding mission. Governance discussions expand at international conferences as nations work to establish frameworks for AI oversight.
Musk v. Altman: OpenAI's Mission Tested in Court
In February 2024, Elon Musk files a lawsuit against OpenAI, CEO Sam Altman, and president Greg Brockman, alleging they betrayed the organisation's founding nonprofit mission by pursuing commercial interests. Musk, who contributed approximately $44 million to OpenAI in its early years, accuses the leadership of breach of charitable trust and unjust enrichment. The case is amended and refiled in federal court in Oakland, California. The trial begins on 28 April 2026, with Musk seeking over $130 billion in damages and the reversal of OpenAI's 2025 corporate conversion. The case raises broad questions about the governance of AI organisations and the tension between nonprofit missions and commercial incentives in the development of powerful AI systems.
Expressed Concerns and Societal Responses
Researchers including Geoffrey Hinton have highlighted concerns about advanced systems surpassing human capabilities in ways that may be difficult to control. These concerns have contributed to regulatory efforts such as the EU AI Act, U.S. executive orders on AI safety, and the establishment of AI safety institutes in multiple countries.
This timeline is maintained as a living reference and will be updated periodically as new developments occur.
See also: Robotics and Embodied AI: Integration of Intelligence with Physical Form
