Technologies of advanced data processing Industry 4.0, including above all Learning machines and Artificial Intelligence is also used in the attempt to build machines equipped with the ability to self-improve the performed tasks and programmed activities. Perhaps in the future there will be an attempt to build artificial awareness in which supercomputers will be equipped. In my opinion, consciousness can only be mathematically modeled in theory. Even if a mathematical model of artificial consciousness were built using ICT and Industry 4.0 and in the future Industry 5.0 and based on this model artificial intelligence would be created in quantum computers installed e.g. in autonomous robots, androids, it will still be only artificial intelligence without emotions and the essence of human consciousness. An analysis of the nature of human thoughts is necessary to distinguish between human intelligence and various artificial intelligence technologies being developed.
In recognition of the fact that their obituary pages had been dominated by white men, in 2018 the New York Times published an obituary of the Countess Ada Lovelace. Alongside Grace Hopper and Katherine Johnson, Lovelace has become an icon for women in technology. So much so that the second Tuesday in October is recognised internationally as Ada Lovelace Day. Lovelace was from a wealthy background; her father was the poet Lord Byron and her mother, Anne Isabella Milbanke, the "princess of parallelograms", was a keen mathematician and social reformer. Social scientists of today would describe Lovelace as having high "science capital" – her well-connected parents meant her mentors and advisers were members of the British scientific elite, including the polymaths Mary Somerville and Charles Babbage.
In the marketplace for artificial intelligence technology, giant companies like Google, Amazon, and Microsoft offer a powerful, centralized approach: They sell access to platforms for machine learning that hoover up vast amounts of users' personal and proprietary information and use that data to train AI models. A new development called federated learning offers an alternative to the centralized model. It promises to distribute the power of machine learning to mobile phones, IoT devices, and other equipment on the network edge. The payoff: Better performance and enhanced data security. By distributing AI training to the edge, "you speed up the training process significantly, and you get better accuracy," says Marcin Rojek, co‑founder at byteLAKE, a Poland‑based company working on federated learning solutions using Internet of Things (IoT) devices.
A key front for ethical questions in artificial intelligence, and computer science more generally, is teaching students how to engage with the questions they will face in their professional careers based on the tools and technologies we teach them. In past work (and current teaching) we have advocated for the use of science fiction as an appropriate tool which enables AI researchers to engage students and the public on the current state and potential impacts of AI. We present teaching suggestions for E.M. Forster's 1909 story, "The Machine Stops," to teach topics in computer ethics. In particular, we use the story to examine ethical issues related to being constantly available for remote contact, physically isolated, and dependent on a machine --- all without mentioning computer games or other media to which students have strong emotional associations. We give a high-level view of common ethical theories and indicate how they inform the questions raised by the story and afford a structure for thinking about how to address them.
Recitations from Tel-Aviv University introductory course to computer science, assembled as IPython notebooks by Yoav Ram. Exploratory Computing with Python, a set of 15 Notebooks that cover exploratory computing, data analysis, and visualization. No prior programming knowledge required. Each Notebook includes a number of exercises (with answers) that should take less than 4 hours to complete. Developed by Mark Bakker for undergraduate engineering students at the Delft University of Technology.