Search results
Results from the WOW.Com Content Network
The second thesis is that advances in artificial intelligence will render humans unnecessary for the functioning of the economy: human labor declines in relative economic value if robots are easier to cheaply mass-produce then humans, more customizable than humans, and if they become more intelligent and capable than humans.
Erik Brynjolfsson is an American academic, author and inventor. He is the Jerry Yang and Akiko Yamazaki Professor and a Senior Fellow [1] at Stanford University where he directs the Digital Economy Lab at the Stanford Institute for Human-Centered AI, with appointments at SIEPR, [2] the Stanford Department of Economics and the Stanford Graduate School of Business.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
ChatGPT, the first artificial intelligence app developed by OpenAI, has already created sweeping changes in certain industries. Publishers are laying down standards for AI use for writers -- or, in...
The term digital economy came into use during the early 1990s. For example, many academic papers were published by New York University’s Center for Digital Economy Research. The term was the title of Don Tapscott's 1995 book, The Digital Economy: Promise and Peril in the Age of Networked Intelligence.
Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [ 2 ] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
In 2012, a publications controversy (around a pattern of undeclared, multiple submissions resulting in parallel publication of similar papers, misrepresentation of the significance of statistical findings, and removal of variables in some of Lichtenthaler's papers despite that these variables were being reported as significant in his other papers on the same data [4]) emerged that resulted in ...