Artificial intelligence (AI) has generated increasing interest in “future of work” discussions in recent years as the technology has achieved superhuman performance in a range of valuable tasks, ranging from manufacturing to radiology to legal contracts. With that said, though, it has been difficult to get a specific read on AI’s implications on the labor market.
In part because the technologies have not yet been widely adopted, previous analyses have had to rely either on case studies or subjective assessments by experts to determine which occupations might be susceptible to a takeover by AI algorithms. Read More
Monthly Archives: November 2019
Brookings Institute — AI Governance
Artificial intelligence, machine learning, and data analytics are upending everything from education and transportation to health care and finance. In this series led by Governance Studies Vice President Darrell West, scholars from in and outside Brookings will identify key governance and norm issues related to AI and propose policy remedies to address the complex challenges associated with emerging technologies. Read More
Preparing the Military for a Role on an Artificial Intelligence Battlefield
The Defense Innovation Board—an advisory committee of tech executives, scholars, and technologists—has unveiled its list of ethical principles for artificial intelligence (AI). If adopted by the Defense Department, then the recommendations will help shape the Pentagon’s use of AI in both combat and non-combat systems. The board’s principles are an important milestone that should be celebrated, but the real challenge of adoption and implementation is just beginning. For the principles to have an impact, the department will need strong leadership from the Joint AI Center (JAIC), buy-in from senior military leadership and outside groups, and additional technical expertise within the Defense Department. Read More
China to Take on Leading Role in Medical Technology and Artificial Intelligence
Asia, in particular China, has been advancing significantly on its way to a key role in geopolitics, says correspondent Frank Sieren – and towards spearheading developments in medical technologies. At the same time, the healthcare market there is growing at a remarkable pace. What are the effects on our research and care? For European stakeholders from care delivery, industry, academia, and policymaking, key events such as CMEF offer the opportunity to view and evaluate new products and solutions and to exchange ideas on collaboration with Chinese market players.
First-hand experience is the best option for all who identify opportunities in this setting. Twice each year, the China International Medical Equipment Fair (CMEF) brings together stakeholders from all over the globe. Each spring, the medtech, IVD, and health IT event is part of the Health Industry Summit (tHIS) – a mega-event in Shanghai which sports about 7,400 exhibitors, 130 conferences, and 300,000 attendees. Read More
Why fair artificial intelligence might need bias
Businesses across industries are racing to integrate artificial intelligence (AI). Use cases are proliferating, from detecting fraud, increasing sales, improving customer experience, automating routine tasks, to providing predictive analytics.
With machine learning models relying on algorithms learning patterns from vast pools of data, however, models are at risk of perpetuating bias present in the information they are fed. In this sense, AI’s mimicking of real-world, human decisions is both a strength and a great weakness for the technology— it’s only as ‘good’ as the information it accesses. Read More
AI & KENNEDY – A Nike manifesto generated by a neural network
We’re Making Progress in Explainable AI, but Major Pitfalls Remain
Machine learning algorithms are starting to exceed human performance in many narrow and specific domains, such as image recognition and certain types of medical diagnoses. They’re also rapidly improving in more complex domains such as generating eerily human-like text. We increasingly rely on machine learning algorithms to make decisions on a wide range of topics, from what we collectively spend billions of hours watching to who gets the job.
But machine learning algorithms cannot explain the decisions they make. How can we justify putting these systems in charge of decisions that affect people’s lives if we don’t understand how they’re arriving at those decisions? Read More
Steve Wozniak Shares Perspectives On Technology, AI and Innovation
In an exclusive interview and in a presentation at the Novathon conference, the Apple co-founder discusses his love for technology, his fears about artificial intelligence, and his perspectives on the potential for digital transformation.
While optimistic about the future, Steve Wozniak is not ready to turn over his identity (nor his Tesla) to artificial intelligence anytime soon. At a conference in Budapest I attended, he referenced deleting his Facebook account because of privacy concerns, and that he no longer believes that a totally autonomous car will happen in his lifetime. But Wozniak retains the passion and enthusiasm for technology and innovation that made him a household name as Apple’s co-founder. Read More
How to Develop Your Own AI Playbook
Video: Andrew Ng, in discussion with MIT Technology Review’s Will Knight, closes EmTech Digital with advice on how to chart your own path forward in the AI Era. Read More
Facial Recognition Technology Will Soon Change The Way Police Identify Criminals
Major advancements are being made in the field of Facial Recognition but the technology is still in the early stages of development. Right now, it is possible to accurately identify persons from a series of images provided if we have a small database from which the algorithm has to search from but if the database goes extensive with images of many persons, the time for the person to be identified can exceed by a huge margin.
And in practical scenarios, we need results in a matter of seconds or so. Therefore it is not convenient to deploy this tech right now but it still presents a promising future in the area of crime fighting and tracking of fugitives.
However keeping in view the rapid advancement in technology and the advent of new algorithms in this particular domain, there are significant use cases of Facial Recognition particular in criminal combat. Read More
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