An AI identifies a person while they are walking on the street. As the AI market expands and AI use cases permeate every industry, every once in a while I hear the question - when will the AI singularity occur? For those who are not familiar with this term - the AI singularity refers to an event where the AIs in our lives either become self aware, or reach an ability for continuous improvement so powerful that it will evolve beyond our control. While this is a reasonable concern in the future, I argue that there are much more pressing concerns in the present - in particular that AI has reached a Tipping Point. A tipping point is a state where a technology grows and permeates our lives very rapidly, building upon itself.
We have all heard about Artificial Intelligence and how it's changing the world. The early stage of Artificial Intelligence was started by classical philosophers who attempted to describe the process of human brain thinking as the mechanical manipulation of symbols. Thus they created programmable digital computers. The idea was the possibility of developing an electronic brain. Artificial Intelligence or AI was founded by Jhon McCarthy in 1995.
In less than two years, the workplace has evolved quickly. Our personal space inside our homes has transformed into a makeshift office, while corporate buildings are vacant and underutilised. As vaccines continue to roll out, a hybrid work model has emerged, with staff now alternating and'taking turns' being back in the office. In the US, research done by SHRM.org highlights that 55% of the workforce favours a hybrid workforce post-pandemic. In the UK, a survey by PWC found 77% of UK employees want a mix of face-to-face and remote working.
Responsible AI is a broad topic covering multiple dimensions of the socio-technical system called Artificial Intelligence. We refer to AI as a socio-technical system here as it captures the interaction between humans and how we interact with AI. In the first part of this series we looked at AI risks from five dimensions. In the second part of this series we look at the ten principles of Responsible AI for corporates. In this article we dive into AI Governance -- what do we really mean by governance?
Artificial Intelligence is considered one of the most revolutionary developments in the history of technology. Within a few years, the world has already witnessed the transformative capabilities of this tech. Not to our surprise, AI is already driving several innovations and powering some of the most cutting-edge everyday solutions. Already, a captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are stirring controversies where the world's leading experts disagree such as AI's future impact on the job market; what will happen if human-level AI will be developed, will it lead to an intelligence explosion, and whether we should welcome or fear this advancement.
Cognitive Design for Artificial Minds (Routledge/Taylor & Francis, 2021) explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. The event is moderated by Antonio Chella (Prof. of Robotics at the University of Palermo) The event is free (but the registration is mandatory) and will be held on Gather Town (you will receive the link once registered). The book "Cognitive Design for Artificial Minds" (with related editorial reviews) can be found at: Antonio Lieto is a researcher in Artificial Intelligence at the Department of Computer Science of the University of Turin, Italy, and a research associate at the ICAR-CNR in Palermo, Italy. He is the current Vice-President of the Italian Association of Cognitive Science (2017–2022) and an ACM Distinguished Speaker on the topics of cognitively inspired AI and artificial models of cognition.
In Part 1 we explored themes related to the onset of an AI singularity and some of the arbitrary and irrational ways in which we tend to think about AI. In Part 2 we will try to understand human intelligence better, in the hope of revealing some of the ways in which our brains are similar to computers but also profoundly different from them. This should prepare us to start accepting the fact of AIs being, at some point in the future, seen as minds in their own right. This is stated by many as if it were some kind of axiom, too self-evident to even think carefully about. And the intuition behind it is so deep-rooted that we need to go back to the very origins of human intelligence to see why it is wrong.
Wall Street, venture capitalists, technology executives, data scientists -- all have important reasons to understand the growth and opportunity in the artificial intelligence market to access business growth and opportunities. This gives them insights on funds invested in AI and analytics as well potential revenue growth and turnover. Indeed, the growth of AI, continuing research, development of easier open source libraries and applications in small to large scale industries are sure to revolutionize the industry the next two decades and the impact is getting felt in almost all the countries worldwide. To dive deep into the growth of AI and future trends, an insight into the type and size of the market is essential along with (a) AI-related industry market research forecasts and (b) data from reputable research sources for insight into AI valuation and forecasting. IBM's CEO claims a potential $2 trillion dollar market for "cognitive computing").
If you follow my content, you know I'm fascinated with Philosophy of Mind. In this blog, I want to just briefly summarize a thought experiment that was imagined by a renowned philosopher, John Searle. It's likely one of the first items you will read about in this subcategory of philosophy. It was crafted to be an answer to a group of people known as functionalists who hold that if something exhibits the same behaviours or functions of a conscious organism, for all intents and purposes, that thing can be called conscious. The argument has also been cited as a useful answer to determinists and materialists.