Organizations are increasingly considering the processes, guidelines, and governance structures needed to achieve trustworthy AI. Here are some underlying first principles that can guide leaders when thinking about AI’s ethical ramifications. “This has to be a human system we live in.” – Sandy Pentland More than 60 years after the
‘Human in the Loop’ Learning (HITL), describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and thereby create a virtuous cycle or ‘loop’ in which the machine constantly learns to improve its capabilities. HITL is becoming
Max Tegmark, professor of physics at MIT, comes to Google to discuss his thoughts on the fundamental nature of reality and what it means to be human in the age of artificial intelligence. Max Tegmark is a renowned scientific communicator and cosmologist, and has accepted donations from Elon Musk to
According to LinkedIn’s talent solution report “The Rise of Analytics in HR – An Era of Talent Intelligence” – people data and analytics is now one of the hottest, most in-demand skills for HR professionals and ranks as one of the most important human capital trends for organizations today. Companies
Often, when we talk about data we think about the bits and bytes, the aspects of storage, and processes and methods for manipulating that data to provide the value we are looking for. However, it’s easy to forget that behind the data are often people that the data represents. For
Exam results decided by an Ofqual algorithm for up to 97% of A-level and GCSE students in England will now be scrapped and the projected ‘mock’ grades decided by individual teachers will be reinstated, in a humiliating U-turn for the government. The controversial algorithm, implemented to give standardized grades to
The rise of artificial intelligence has seen computers beating chess experts and performing incredibly complex tasks. But why can’t they think the same way we do? We have built incredibly powerful, multi-layered, neural networks capable of learning incredibly quickly and carrying out seemingly impossible tasks, but they still can’t always
Early on in the evolution of artificial intelligence, researchers realized the power and possibility of machines that are able to understand the meaning and nuances of human speech. Conversation and human language is a particularly challenging area for computers, since words and communication is not precise. Human language is filled with nuance, context, cultural and societal depth, and imprecision that can lead to a wide range of interpretations. If computers can understand what we mean when we talk, and then communicate back to us in a way we can understand, then clearly we’ve accomplished a goal of artificial intelligence.
When it comes to digital transformation, humans – believe it or not – play an integral role. In fact, companies that make strong use of the combined human/machine workforce have a far greater chance of success in digital transformation. Accenture calls these combined people/bot workspaces “future systems” – systems that seamlessly integrate humans and robots to create business goals that are limitless, agile, and “radically human.”
Through life-changing accidents, and data-minded through NASCAR, human beings are finding ways to rebuild one another so that we are better, faster, and stronger than ever before and all with the help of A.I.. Once nothing more than the stuff of comic books and TV shows, we truly have the technology to become modern superheroes.
Many governments worldwide are looking at using Artificial Intelligence (AI) and other cognitive technologies as part of making their operations more efficient, better serving their citizens, and increasing the range of ways they can meet their missions.
Sometimes people get ill because something goes wrong with their body. Very often, the body self-heals by directing regulatory controls to rectify and normalize the thing that is making you feel poorly. This is the body’s autonomic nervous system and its actions are carried out while the human being is largely unconscious of events taking place. When an illness can’t be rectified autonomically, you take medicine, or go to the doctor.
Sometimes, computers go wrong too.
Rather than calling a doctor, we usually call an IT support engineer or attempt to reinstall and ‘patch’ the software code issues causing the performance defect to occur. Increasingly though, through the use of Machine Learning (ML) and an ability to codify best-practice methods for addressing software performance scenarios, we are able to allow software systems to self-heal in much the same way that the body flushes out problems. This is called autonomic computing and it happens while the human being (let’s call them the ‘user’) is largely unconscious of events taking place.