The ban comes after civil liberties groups highlighted what they described as faults in facial recognition algorithms after NIST found most facial recognition software was more likely to misidentify people of colour than white people. The Boston ban follows a ban imposed by San Francisco on the use of face recognition technology last year. The ban prevents any city employee using facial recognition or asking a third party to use the technology on its behalf. Boston's police department said it had not used the technology over what it called reliability fears, though it's clear the best systems are reasonably accurate in average working conditions. Critics also opposed the technology on the basis it might discourage citizens' rights to protest.
For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions. A study last year found that training an off-the-shelf AI language-processing system produced 1,400 pounds of emissions--about the amount produced by flying one person roundtrip between New York and San Francisco. The full suite of experiments needed to build and train that AI language system from scratch can generate even more: up to 78,000 pounds, depending on the source of power. But there are ways to make machine learning cleaner and greener, a movement that has been called "Green AI." Some algorithms are less power-hungry than others, for example, and many training sessions can be moved to remote locations that get most of their power from renewable sources.
In this episode of the McKinsey on AI podcast miniseries, McKinsey's David DeLallo speaks with McKinsey Global Institute partner Michael Chui and associate partner Bryce Hall about the latest trends in business adoption of artificial intelligence (AI). They discuss where the technology is being used most across industries, companies, and business functions; the keys to getting impact from AI investments; and what lies ahead. There's no shortage of predictions about how it could fundamentally change the way we live and work. Over the past few years, companies around the world have been figuring out exactly how AI technologies can improve their performance in a number of areas across their business. But is AI actually delivering significant results? Moreover, what can we expect to see as we move into a new decade of AI use and development? To answer some of these questions today, I'm joined by Michael Chui, a McKinsey partner with the McKinsey Global Institute, who is based in our San Francisco office, and associate partner Bryce Hall from our Washington, DC, office.
The brain of a human child is spectacularly amazing. Even in any previously unknown situation, the brain makes a decision based on its primal knowledge. Depending on the outcome, it learns and remembers the most optimal choices to be taken in that particular scenario. On a high level, this process of learning can be understood as a ’trial and error’ process, where the brain tries to maximise the occurrence of positive outcomes.
SAN FRANCISCO - Several experts in the computer technology field learned of Google having an AI which achieved Self-Awareness, soon after the event occurred. For the most part, developers who were involved in the research kept all of their information classified as TOP SECRET. Although many science fiction writers and futurists warned of the threats posed by a "Rogue AI", the observations by Google Research Labs seemed to indicate a moderately benevolent nature in the actions of the IT System, based on the performance and the response following assigned tasking. However, recent activity may indicate that the incredibly powerful Google AI has gone "Full Jerk-Wad." Programmers who are familiar with the cutting-edge Artificial Intelligence (AI) downplay concerns over the discovery.
In all areas – efficiency and effectiveness, revenue generation, safety and security – AI has tremendous potential to deliver positive change if used correctly, details Ian Law, Chief Information Officer of San Francisco International Airport. As hubs of intense operational activity involving thousands of inter-dependent tasks, airports are ideal candidates for new technologies that improve the smooth flow of people, planes and bags. Artificial intelligence (AI) could be a game-changer for airports. However, without some (human) intelligent forethought, it also risks being a costly disappointment. The real value of AI will only come from a sector-wide focused collaboration, from which AI's cornerstone role tackling the sector's most intractable issues is evolved.
We were delighted to be joined by Lex Fridman at the San Francisco edition of the Deep Learning Summit, taking part in both a'Deep Dive' session, allowing for a great amount of attendee interaction and collaboration, alongside a fireside chat with OpenAI Co-Founder & Chief Scientist, Ilya Sutskever. The MIT Researcher shared his thoughts on recent developments in AI and its current standing, highlighting its growth in recent years. Lex then referenced, Lee Sedol, the South Korean 9th Dan GO player, whom at this time is the only human to ever beat AI at a video game, which has since become somewhat of an impossible task, describing this feat as a seminal moment and one which changed the course of not only deep learning but also reinforcement learning, increasing the social belief in the subsection of AI. Since then, of course, we have seen video games and tactically based games, including Starcraft become imperative in the development of AI. The comparison of Reinforcement Learning to Human Learning is something which we often come across, referenced by Lex as something which needed addressing, with humans seemingly learning through "very few examples" as opposed to the heavy data sets needed in AI, but why is that?
This week IBM, Microsoft and Amazon announced that they would suspend the sale of their facial recognition technology to law enforcement agencies. But the moves from the tech giants also illustrate the inherent risks of AI, especially when it comes to bias and the potential for invasion of privacy. Note that there are already indications that Congress will take action to regulate the technology. In the meantime, many cities have already instituted bans, such San Francisco. Because of the advances of deep learning and faster systems for processing enormous amounts of data, facial recognition has certainly seen major strides over the past decade.
Boston will become the second largest city in the US to ban facial recognition software for government use after a unanimous city council vote. Following San Francisco, which banned facial recognition in 2019, Boston will bar city officials from using facial recognition systems. The ordinance will also bar them from working with any third party companies or organizations to acquire information gathered through facial recognition software. The ordinance was co-sponsored by Councilors Ricardo Arroyo and Michelle Wu, who were especially concerned about the potential for racial bias in the technology, according to a report from WBUR. 'Boston should not be using racially discriminatory technology and technology that threatens our basic rights,' Wu said at a hearing before the vote.
VentureBeat is on the lookout for disruptive AI companies of all sizes that are ready to present new tech products or services on the main stage at Transform 2020: Accelerating your business with AI, July 15-17 in San Francisco. Transform is the first major virtual AI event for business decision makers this year, and will have more than a thousand attendees. Those companies selected for our AI Showcase will do so in front of hundreds, if not thousands, of industry decision makers. Every presenter will receive coverage from VentureBeat, placing your company squarely in front of our growing reader base of over 6 million monthly readers. To be sure, with just three weeks left, the Showcase is almost full, but we do have some slots left.