Linguistics and the Development of NLP

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ACM OPINION

Linguistics and the Development of NLP   By The Gradient

September 9, 2022

Christopher Manning is the director of the Stanford University AI Lab and an associate director of the Stanford Human-Centered Artificial Intelligence Institute.

In this podcast, Chris Manning, an ACM Fellow, AAAI Fellow, and past president of ACL, discusses a number of topics, including tree recursive neural networks, GloVe, neural machine translation, computational linguistic approaches to parsing, and his current work, which is focused on applying deep learning to natural language processing.

Full article

The State of AI in Graphs

Some graphical lnsight on AI and its direction.

ACM NEWS

12 Graphs That Explain the State of AI in 2022,    Summary of Stanford HAI report , 

   By IEEE Spectrum, March 24, 2022

Every year, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) puts out its AI Index, a massive compendium of data and graphs that tries to sum up the current state of artificial intelligence. The 2022 AI Index, which came out this week, is as impressive as ever, with 190 pages covering R&D, technical performance, ethics, policy, education, and the economy. I've done you a favor by reading every page of the report and plucking out 12 charts that capture the state of play.

It's worth noting that many of the trends I reported from last year's 2021 index still hold. For example, we are still living in a golden AI summer with ever-increasing publications, the AI job market is still global, and there's still a disconcerting gap between corporate recognition of AI risks and attempts to mitigate said risks. Rather than repeat those points here, we refer you to last year's coverage.

IEEE Spectrum

Winner Takes All Effect and Automation

Had not heard it stated that way.   But agree,  automation is less threat than we think.  As is mentioned, we will be building working relationships with our machines.

Automation and the 'Winner Take Most' Effect

By Workflow, March 30, 2021

Erik Brynjolfsson of Stanford HAI  (Stanford Human Centered AI) 

"There's way too much work that needs to be done that only humans can do," says Erik Brynjolfsson, senior fellow at Stanford HAI.

The threat that automation poses to humans has been greatly exaggerated, says Erik Brynjolfsson, director of the Stanford Digital Economy Lab and a senior fellow at the Stanford Institute for Human-Centered Artificial Intelligence.

In an interview, Brynjolfsson examines humans' future working relationship with machines and how advanced technologies, especially machine learning, change economies as well as workers' jobs and lives.

From Workflow

Introducing AI Index Report

Access at the link, worthwhile to look at.  Like strong human-centric looks, we need more of that.

Introducing the AI Index 2019 Report   By Stanford University

An independent initiative within Stanford University's Human-Centered Artificial Intelligence Institute, the report is in its third year.

The AI Index 2019 Report takes an interdisciplinary approach by design, analyzing and distilling patterns about artificial intelligences broad global impact on everything from national economies to job growth, research, and public perception.

We're excited to release the AI Index 2019 Report, one of the most comprehensive studies about AI to date. Because AI touches so many aspects of society, the Index takes an interdisciplinary approach by design, analyzing and distilling patterns about AI's broad global impact on everything from national economies to job growth, research and public perception. The purpose of the project is to ground the discussion on AI in data, serving practitioners, industry leaders, policymakers and funders, the general public and the media that informs it. 

An independent initiative within Stanford University's Human-Centered Artificial Intelligence Institute, the report is in its third year and is the result of a collaborative effort led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry, in collaboration with more than 35 sponsoring partners and data contributors.

The first two reports established the Index as the preeminent source of data about AI. The 2019 edition reinforces the position but dramatically expands the coverage, tracking three times as many data sets as the 2018 edition. It includes an update of previous measures, as well as numerous new ones, across all aspects of AI including technical performance, the economy, societal issues, and more.

From Stanford University

Overdue Debate?

More thoughts on mind, machines, and humanity.   Is it a debate or a inevitable journey?    I was Inspired by the Stanford HAI effort, which seems to be chipping away at just the tiniest pieces of this.  Should we first look very broadly, to set our goals and understand the risks?

The Overdue Debate     In The Edge By Andrian Kreye

Technology in turbo gear: Humanities and Natural Sciences must finally be united to talk about artificial intelligence.

Artificial intelligence, or AI for short, is a subject in which the imagination switches to turbo speed. From the medieval myth of the golem to Stanley Kubrick's "2001: Odyssey in Space" to Frank Schätzing's bestseller "The Tyranny of the Butterfly", literature and film have long been concerned with what would happen if machines could develop consciousness and free will. But even if they never will, the possibilities of this technology exceed even the imagination of scientists.

As AI enters a new phase with the latest advances in digital technology, there is a growing demand that the natural sciences and the humanities join forces to think about the impact on society and people of machines that can learn and make decisions on their own.
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The Spirit In The Machine
What does artificial intelligence mean?
A series of essays seeks answers.
Part 1: .... "

Stanford HAI Symposium

The first symposium recording is now here:   https://www.youtube.com/watch?v=yjSlatKnfqQ&feature=youtu.be

Artificial intelligence will be the most consequential technology of the 21st century—augmenting human capabilities, transforming industries and economies, and reshaping societies. The Stanford Institute for Human-Centered Artificial Intelligence (HAI) was established to advance AI technology and applications, and to provide leadership in understanding and influencing its impact on the world. Join us via livestream for our 2019 symposium on March 18. ...."

https://hai.stanford.edu/

Stanford Launches Institute for Human Centered AI

Before the last AI winter,we used Stanford and startups including their students and faculty, for consulting in AI based methods.   Much more at the link:

Stanford News Service

Stanford University launches the Institute for Human-Centered Artificial Intelligence

The new institute will focus on guiding artificial intelligence to benefit humanity. Also see a video, blog post, press kit with images, an infographic and symposium livestream.

Stanford University is launching a new institute committed to studying, guiding and developing human-centered artificial intelligence technologies and applications. The Stanford Institute for Human-Centered Artificial Intelligence (HAI) is building on a tradition of leadership in artificial intelligence at the university, as well as a focus on multidisciplinary collaboration and diversity of thought. The mission of the institute is to advance artificial intelligence (AI) research, education, policy and practice to improve the human condition.

The university-wide institute is committed to partnering with industry, governments and non-governmental organizations that share the goal of a better future for humanity through AI. As a part of this commitment, the institute is working closely with companies across sectors, including technology, financial services, health care and manufacturing, to create a community of advocates and partners at the highest level. HAI will be led by John Etchemendy, professor of philosophy and former Stanford University provost, and Fei-Fei Li, professor of computer science and former director of the Stanford AI Lab.   ... "