Irving Wladawsky-Berger
A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects.
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Category: Data Science and Big Data
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“Business leaders are struggling to understand how seriously they should take the latest phenomenon in the world of artificial intelligence: generative AI,” wrote Andrew McAfee, Daniel Rock, and Erik Brynjolfsson in their recent Harvard Business Review (HBR) article “How to Capitalize on Generative AI.” “On one hand, it has already displayed a breathtaking ability…
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A recent issue of The Economist included a special focus on “How AI Can Revolutionize Science,” with three articles on the topic. “Debate about artificial intelligence (AI) tends to focus on its potential dangers: algorithmic bias and discrimination, the mass destruction of jobs and even, some say, the extinction of humanity,” noted the issue’s lead…
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“The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone,” wrote Microsoft co-founder Bill Gates in “The Age of AI has begun,” a March, 2023 blog. “It will change the way people work, learn, travel, get health care, and communicate with each other.…
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In 2009 I participated in a panel at an MIT Symposium on complex systems where I gave a talk on complex social organizations. The panel included talks on financial, energy, and healthcare systems by three eminent leaders in their fields. I was particularly impressed by the talk given by Denis Cortese, who at the time…
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“AI systems don’t operate like traditional software – they require distinct development processes and rely on specialized and costly resources currently pooled in the hands of a few large tech companies,” wrote David Gray Widder, Meredith Whittaker, and Sarah Myers West in a recent research paper, “Open (for Business): Big Tech, Concentrated Power, and the…
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“One of the most enduring macroeconomic puzzles of the last several decades is the pervasive slowdown in productivity growth across industrialized nations, despite breakneck advances in information and communication technologies (ICT) and electronics,” wrote economists Daron Acemoglu, David Autor, and Christina Patterson in their recent paper Bottlenecks: Sectoral Imbalance and the US Productivity Paradox. Over…
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“The COVID-19 pandemic disrupted labor markets globally during 2020,” said a February 2021 McKinsey report on “The future of work after COVID-19.” “The short-term consequences were sudden and often severe: Millions of people were furloughed or lost jobs, and others rapidly adjusted to working from home as offices closed. Many other workers were deemed essential…
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“In early 2021, a Wikipedia editor peered into the future and saw what looked like a funnel cloud on the horizon: the rise of GPT-3, a precursor to the new chatbots from OpenAI,” wrote author and journalist Jon Gertner in “Wikipedia’s Moment of Truth,” a recent NY Times Magazine article. “When this editor — a…
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Earlier this year, the World Economic Forum (WEF) published “The Future of Jobs Report 2023.” The WEF has been publishing Future of Jobs Reports since 2016 to explore how socio-economic and technology trends are likely to shape the evolution of jobs and skills over the following 5 years. “In 2023, labour-market transformations driven by technological…
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“It’s natural to ask whether large language models like LaMDA (short for Language Model Dialogue Application) or GPT-3 are really smart — or just double-talk artists in the tradition of the great old comedian Prof. Irwin Corey, ‘The World’s Greatest Authority,’ wrote UC Berkeley cognitive and developmental psychologist Alison Gopnik in ‘What AI Still Doesn’t…