The session on Toward More General Artificial Intelligence was co-chaired by Asli Celikyilmaz and Chris Manning. We started with a shared reflection on where AI is today. For all of the excitement, AI researchers agree that solutions to date have been quite brittle and narrow in scope and capabilities. Presentations and discussions in this session covered key directions, opportunities, and research investments aimed at overcoming long-term challenges with achieving more general AI capabilities, including research that could enable AI systems to do more effective learning about the world in the wild from unsupervised data, methods for garnering and manipulating large amounts of commonsense knowledge, transferring learnings on one or more tasks to new tasks and new domains, and reasoning about causes and effects. The session on Human-AI Collaboration and Coordination was co-chaired by Ece Kamar and James Landay.
There are two schools of thought on the impact of artificial intelligence (AI). The first is pessimistic: AI will turn into the all-powerful computer SkyNet that takes over Earth in the Terminator movies. The second is optimistic: AI will help humans become much more than they could be without it. In this school of thought, we live in a state of blissful "augmented humanity." The truth, of course, lies somewhere in the middle.
You'd thinking flying in a plane would be more dangerous than driving a car. In reality it's much safer, partly because the aviation industry is heavily regulated. Airlines must stick to strict standards for safety, testing, training, policies and procedures, auditing and oversight. And when things do go wrong, we investigate and attempt to rectify the issue to improve safety in the future. Other industries where things can go very badly wrong, such as pharmaceuticals and medical devices, are also heavily regulated.
An examination of the implications for society of rapidly advancing artificial intelligence systems, combining a humanities perspective with technical analysis; includes exercises and discussion questions. AI and Humanity provides an analytical framing and a common language for understanding the effects of technological advances in artificial intelligence on society. Coauthored by a computer scientist and a scholar of literature and cultural studies, it is unique in combining a humanities perspective with technical analysis, using the tools of literary explication to examine the societal impact of AI systems. It explores the historical development of these technologies, moving from the apparently benign Roomba to the considerably more sinister semi-autonomous weapon system Harpy. The book is driven by an exploration of the cultural and etymological roots of a series of keywords relevant to both AI and society.
My view, and that of the majority of my colleagues in AI, is that it'll be at least half a century before we see computers matching humans. Given that various breakthroughs are needed, and it's very hard to predict when breakthroughs will happen, it might even be a century or more. If that's the case, you don't need to lose too much sleep tonight. One reason for believing that machines will get to human-level or even superhuman-level intelligence quickly is the dangerously seductive idea of the technological singularity. This idea can be traced back to a number of people over fifty years ago: John von Neumann, one of the fathers of computing, and the mathematician and Bletchley Park cryptographer IJ Good.
While AI and robotics have made waves in several industries, it would seem inconceivable to the uninitiated for robots and intelligent machines to make a mark in the creatives sector. How could systems be taught creativity? In fact, when researchers from the Oxford Martin School ranked 702 occupations according to their susceptibility to computerization, jobs that center around creativity were least in danger. Designers, curators, artists, choreographers, dancers, musicians, singers, writers, and authors were among those less likely to be replaced by robots. But the robot takeover argument does not only include sentiments of agreement and disagreement.
While artificial intelligence continues its sweeping disruption across the enterprise, the last couple of years, in particular, have demonstrated a growing ability to transform human resources administration. We've seen applications for reducing recruiting biases, advanced analytics for determining the voice of employees, and a rise in virtual assistants to offload work for HR professionals. Still, with an increasingly digitally native workforce, AI is finally being trusted with more complicated and sophisticated issues. One of those more complicated areas, in particular, is workplace wellness and, more specifically, mental health. Employers now know that ensuring employee wellness is core to creating a positive employee experience, and study after study has shown that modern-day employees evaluate their potential jobs based on employee experience.
Beyond Europe's AI Strategy: Global Governance for the Fourth Industrial Revolution Carolina Polito* On 19 February 2020, the European community welcomed the publication of three new documents that will drive the European Digital Agenda for the five years of the new von der Leyen's presidency. The documents are the European data strategy, the White Paper on Artificial Intelligence and the Report on Safety and Liability implications of AI, the Internet of Things and Robotics. Together, these documents offer a comprehensive overview of European priorities for the Fourth Industrial Revolution. The main objective underpinning the European data strategy, informed by the conviction that the value of data lies in its pooling and storage, is the creation of a single European data space in which information flows freely and safely. To accomplish this objective, the EU will establish mechanisms to improve how data is shared, including via common contractual obligations on presentation, so as to make it accessible across member states.
As someone educated in science and engineering, I've always considered the pursuit of new technologies a higher calling. As someone raised Roman Catholic, I also tend to pay attention when another high call comes in -- like from the Vatican. Last year, the Vatican reached out to our company, IBM. Pope Francis was worried about technology's effects on society and families around the world and its potential to widen the gap between the rich and poor. How could the world harness AI for the greater good while reducing its potential to be a force for evil?
In the past decade, artificial intelligence (AI) has made it to mainstream society from academic journals. The technology has achieved numerous milestones when it comes to digital transformation across society including businesses, education, and healthcare as well. Today people can do the tasks which were not even possible ten years back. The proportion of organizations using AI in some form rose from 10 percent in 2016 to 37 percent in 2019 and that figure is extremely likely to rise further in the coming year, according to Gartner's 2019 CIO Agenda survey. While the breakthroughs in surpassing human ability at human pursuits, such as chess, make headlines, AI has been a standard part of the industrial repertoire since at least the 1980s.