Artificial Intelligence – How did we get here?

Artificial intelligence (AI) is a fascinating and rapidly evolving field of science and engineering that has the potential to transform various aspects of human life and society. However, AI also poses significant challenges and risks, such as ethical dilemmas, social impacts, and human oversight, that need to be addressed by researchers, policymakers, and stakeholders.

In this blog article, I will provide a brief overview of the history and definition of Artificial Intelligence, and then discuss some of the current developments and issues in the field.

John McCarthy 1956

The term “artificial intelligence” was officially coined by John McCarthy in 1956, and since then, AI has gone through several phases of excitement and disappointment, known as the AI summers and winters. The current AI summer is driven by the advances in machine learning, especially deep learning, which uses large artificial neural networks to learn from data and perform various tasks, such as image recognition, natural language processing, and game playing.

Deep Blue 1997

Some of the notable achievements of AI in recent years include the victory of IBM’s Deep Blue over the chess world champion Garry Kasparov in 1997, the success of Google’s DeepMind in mastering the ancient game of Go and defeating the human champion Lee Sedol in 2016, and the development of intelligent personal assistants like Apple’s Siri and Amazon’s Alexa.

AI limitations & challenges

However, Artificial Intelligence is not without its limitations and challenges. One of the main challenges is to ensure that AI is aligned with human values and goals, and that it does not harm or exploit humans or the environment. This requires the development of AI governance frameworks and principles that can guide the ethical and responsible use of AI, and that can balance the benefits and risks of the technology.

Emerging AI Governance

Some of the existing initiatives in this direction include the Asilomar AI Principles, the IEEE Ethically Aligned Design, and the European Commission’s High-Level Expert Group on AI. Another challenge is to ensure that AI is transparent and explainable, and that humans can understand and trust the decisions and actions of AI systems. This is especially important for applications that have significant impacts on human lives and well-being, such as healthcare, education, and justice.

Fear of Black Boxes

However, many AI systems, especially deep neural networks, are often seen as black boxes that are difficult to interpret and explain. Therefore, there is a need for developing methods and tools that can enhance the interpretability and explainability of AI, and that can enable human oversight and control over AI.

A final challenge is to ensure that AI is inclusive and fair, and that it does not discriminate or marginalise certain groups or individuals. This is related to the quality and diversity of the data that is used to train and evaluate AI systems, and the potential biases and errors that may arise from the data.

For example, facial recognition systems may perform poorly on people of colour or women, or hiring algorithms may favour certain candidates over others based on their gender or ethnicity. Therefore, there is a need for developing methods and tools that can detect and mitigate the biases and errors in AI, and that can ensure the fairness and accountability of AI.

Benefits versus risks

In conclusion, AI is a powerful and promising technology that can bring many benefits to humanity and society, but it also poses many challenges and risks that need to be addressed by various actors and stakeholders.

I believe that it is crucial to foster a multidisciplinary and collaborative approach to AI, that can involve researchers, policymakers, industry, civil society, and the public, and that can ensure the ethical and responsible development and use of AI. I hope that this blog article has provided you with some insights and perspectives on the history, definition, and current issues of AI, and that it has stimulated your interest and curiosity in this fascinating and important field.

Adrian Precious – “What is AI?”