Artificial Intelligence has leapt to the forefront of global discourse, garnering increased attention from practitioners, industry leaders, policymakers, and the general public. The diversity of opinions and debates gathered from news articles this year illustrates just how broadly AI is being investigated, studied, and applied. However, the field of AI is still evolving rapidly and even experts have a hard time understanding and tracking progress across the field.
Without the relevant data for reasoning about the state of AI technology, we are essentially “flying blind” in our conversations and decision-making related to AI.
Created and launched as a project of the One Hundred Year Study on AI at Stanford University (AI100), the AI Index is an open, not-for-profit project to track activity and progress in AI. It aims to facilitate an informed conversation about AI that is grounded in data. This is the inaugural annual report of the AI Index, and in this report we look at activity and progress in Artificial Intelligence through a range of perspectives. We aggregate data that exists freely on the web, contribute original data, and extract new metrics from combinations of data series.
All of the data used to generate this report will be openly available on the AI Index website at aiindex.org. Providing data, however, is just the beginning. To become truly useful, the AI Index needs support from a larger community. Ultimately, this report is a call for participation. You have the ability to provide data, analyze collected data, and make a wish list of what data you think needs to be tracked. Whether you have answers or questions to provide, we hope this report inspires you to reach out to the AI Index and become part of the effort to ground the conversation about AI.
WHAT IS AN ENTERPRISE CHATBOT PLATFORM? To sum it up in a few words, a chatbot platform is a toolset which is used to build and deploy chatbots. Every organization has its own set of unique challenges that can be overcome by convenient automation provided by chatbots. After establishing a clear-cut chatbot strategy, enterprises can use a bot builder platform to build, train and manage customized bots. Before the advent of chatbot platforms, building a bot was a strenuous task and required sophisticated toolsets and advanced coding knowledge. However with time, several bot building platforms flooded the chatbot market and led to the creation of safe AI bots which need minimum deployment time and almost zero coding knowledge. Enterprise chatbot platforms also allow IT departments to have complete control and access to monitoring bots.
From DSC: It is with some hesitation that I post this article. Why? Because:
I started out my career in a customer service related position at Baxter Healthcare, and it was one of the most important jobs that I’ve had because it taught me the value of a customer. Ever since then, I have treated everyone as my customer — whether they be internal or external to the organization that I was working for.
Then, there’s the idea of calling a Voice Response Unit (VRU) — which sometimes works well and sometimes I can’t stand it. There are times when I/we simply want to speak to a fellow human being.
So it is with some hesitation that I post this article. But I do so because it is yet another example of:
The increased usage of algorithms, software, bots, personal assistants, AI, etc. to obtain answers and information
The changing skillset employees will need and job seekers may want to develop (if such things are interesting to them)
The projects Moodle HQ is leading from now on, MoodleCloud, Moodle.net, Learn Moodle, and the learning platform itself, as well as a new “Moodle Services” with details to come, are also part of Dougiamas’ goal to make Moodle a complete source, rather than just a software program, in the minds of users everywhere.
MoodleCloud has 25,000 sites. He admits it is not a product for large organizations, “not that it has stopped people from trying.”
Moodle.net is one of the areas with the most active development. Dougiamas suggested it will feature a sort of “social network for teachers” that they can access from their institutional Moodle sites or use as a content exchange. It will have its own app.
Code that learns may prove to be the most important invention in human history. But in 2016, there was almost no discussion of the implications of artificial intelligence (AI) in K-12 education—either the immense implications for the employment landscape or the exciting potential to improve learning.
We spent two years studying the implications of AI and concluded that machine intelligence turbocharged by big data and enabling technologies like robotics is the most significant change force facing humanity. Given enormous benefits and challenges we’re just beginning to understand, we believe it is an important time to Ask About AI (#AskAboutAI).
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After interviewing experts, hosting a dozen community conversations, and posting more than 50 articles we’re summarizing what we’ve learned in a new paper Ask About AI: The Future of Learning and Work.
The paper explores what’s happening in the automation economy, the civic and social implications, and how to prepare ourselves and our children for exponential change.
With this launch we’re also launching a new microsite on Future of Work.
To initiate lifelong learning, secondary schools should encourage students to be reflect on how they learn, and build habits of success. There are an increasing number of organizations interested in being lifelong learning partners for students—college alumni associations, professional schools and private marketplaces among them.
Self-directed learning is most powerfully driven by a sense of purpose. In our study of Millennial employment, Generation Do It Yourself, we learned that it is critical for young people to develop a sense of purpose before attending college to avoid the new worst-case scenario—racking up college debt and dropping out. A sense of purpose can be developed around a talent or issue, or their intersection; both can be cultivated by a robust guidance system.
We’ve been teaching digital literacy for two decades, but what’s new is that we all need to appreciate that algorithms curate every screen we see. As smart machines augment our capabilities, they will increasingly influence our perceptions, opportunities and decisions. That means that to self- and social awareness, we’ll soon need to add AI awareness.
Taken together, these skills and dispositions create a sense of agency—the ability to take ownership of learning, grow through effort and work with other people in order to do the learning you need to do.
Our work uncovered five high-tech strategies employed by institutions that have successfully implemented digital learning at scale across a range of modalities. The strategies that underscore the high-tech, high-touch connection are customizing through technology, leveraging adaptive courseware, adopting cost-efficient resources, centralizing course development and making data-driven decisions.
Although many of the institutions we studied are employing more than one of these strategies, in this report we have grouped the institutional use cases according to the strategy that has been most critical to achieving digital learning at scale. As institutional leaders make their way through this document, they should watch for strategies that target challenges similar to those they hope to solve. Reading the corresponding case studies will unpack how institutions employed these strategies effectively.
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Digital learning in higher education is becoming more ubiquitous as institutions realize its ability to support student success and empower faculty. Growing diversity in student demographics has brought related changes in student needs, prompting institutions to look to technology to better serve their students. Digital courseware gives institutions the ability to build personalized, accessible and engaging content. It enables educators to provide relevant content and interventions for individual students, improve instructional techniques based on data and distribute knowledge to a wider audience (MIT Office of Digital Learning, 2017).
PARTICIPATION IN DIGITAL LEARNING IS GROWING
Nationally, the number of students engaged in digital learning is growing rapidly. One driver of this growth is rising demand for distance learning, which often relies on digital learning environments. Distance learning programs saw enrollment increases of approximately 4% between 2015 and 2016, with nearly 30% of higher education students taking at least one digital distance learning course (Allen, 2017). Much of this growth is occurring at the undergraduate level (Allen, 2017). The number of students who take distance learning courses exclusively is growing as well. Between 2012 and 2015, both public and private nonprofit institutions saw an increase in students taking only distance courses, although private, for-profit institutions have seen a decrease (Allen, 2017).
From DSC: One of the biggest gifts that we can give our students today is learning how to learn. Along those lines, I was thinking about note-taking the other day.
Many students may not know how to take good notes, and to make the notes/thoughts their own. So I was thinking, wouldn’t it be great if, for each professor’s class, there was a place where students could go to see what exemplary notes look like for several — even many — of the sessions of a particular class?! If there were an accompanying audio-based or a video-based commentary that could relay the note-taker’s thinking/information processing, all the better.
These notes could be provided by the professor herself/himself or by a 4.0-type of student who has demonstrated solid study habits and shows a strong capacity for processing information. The notes would want to:
Demonstrate what good note taking looks like
Provide examples of one’s own wording/understanding of the material
Identify/show any gaps in understanding by listing their own remaining questions. This type of gap analysis could help the learners see what a metacognitive check-in might look like.
By doing something like this, students could see what the main points were, what effective note taking looks like, and to see that the note-taker has taken the time to put some of their own reflections/summaries alongside the larger set of notes.
It would also be interesting to provide a platform whereby students could contribute/share their own notes to help others better understand not only the materials covered, but what different methods of note-taking might look like. Perhaps a certain style of note-taking would jump out at any given learner. Also, doing so would foster a more collaborative approach, as is often needed in the real-world.
An accompanying forum could be made available for students’ discussions of a particular class/topic. This forum could highlight for the professor what the areas of struggle are as well as how the material is being processed by the students.
On a separate thought…we also need to help students form habits of learning, such as regularly checking into streams of content (i.e., micro-learning). If we can model this in the ways that we relay content and encourage dialog around a topic, then they will be that much better equipped to:
A technology-stimulated, connected, and accelerated marketplace is generating different roles and additional skills requirements for us as workers. The traditional model of completing our lifelong education needs before we enter the workforce is now obsolete. On-the-job experience must now be supplemented as business and technological requirements evolve significantly and rapidly.Compelling new multilevel learning options are emerging to cater to the new necessity of updating important knowledge and capabilities at work. Many new offerings are online and modular in order to be accessible and flexible, giving labor force participants greater opportunity to remain relevant and competitive.
Since the beginning of the Industrial Era, evolution typically occurred from generation to generation. New developments were adopted by incoming cohorts, adding to and then replacing well-established workers’ existing practices of which could be phased out gradually. However, the exponential pacethat is characteristic of the Fourth Industrial Revolution is requiring modifications to be absorbed and adapted within a generation accompanied by frequent incremental updates and revisions. Innovative learning models and modules that target incoming and existing working populations are being built out to respond to business-related requirements as new fields, disciplines, and roles appear and are established.
I talked to Anant Agarwal, CEO and Founder of edX, and Professor of Electrical Engineering and Computer Science at MIT about the situation for new workforce entrants and the future education of workers. He spoke of what he called “MOOC 2.0” as the next phase of evolution of this high-profile MOOC (Massively Open Online Course) platform and the strategic rationale and content of edX’s new MicroMasters program offerings.
As a member of the International Education Committee, at edX we are extremely aware of the changing nature of work and jobs. It is predicted that 50 percent of current jobs will disappear by 2030.
Anant Agarwal, CEO and Founder of edX, and
Professor of Electrical Engineering and Computer Science at MIT
From DSC: We are moving towards providing up-to-date, relevant “streams of content” (which will in many cases represent unbundled content/courses). Mark my words, that’s the future that we’re heading for — and the future that we’ll need to successfully adapt to the new, exponential pace of change. Organizations offering such streams will be providing a valuable service in terms identifying, presenting, curating the most relevant, up-to-date content.
A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.
We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:
Automation will eliminate 9% of US jobs but will create 2% more. In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.”Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.
Your next entry-level compliance staffer will be a robot.
From DSC:
Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.
***Are we ready for this?! ***
AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?
My answer: No, we can’t. But we need to be able to — and very soon!
There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!
That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.
But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:
Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality
The ARKit is often mistaken as a single app, but it’s actually a tool for developers to create their own apps. Already, it has opened up the AR floodgates for newer Apple devices, and developers have been showcasing their new apps on social media using the hashtag #ARKit. The latest apps include technology that simulate realistic experiences, making AR more useful than ever in our daily lives.
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While testing some apps before the release of iOS 11, I was overwhelmed with the educational potential and benefit for our students contained in this technology. I found some incredible apps that blew the roof off of our classroom walls, as well as some that provided minimal benefit.
Here, I’ve made my list of top 10 recommended ARKit apps (as of today) that can drastically transform our lessons and the interactions with content. While I’ve tried to explain the value of these tools, there are some instances where you simply need to see it to believe it, so I’ve included my experience on video using some of the apps to provide further insights whenever possible.
From DSC: I wonder if teams involved in creating/enhancing learning spaces might benefit from using magicplan (1 of the 10 apps mentioned) for quick floor plans and ideas:
The award winning magicplan app lets you create professional floor plans simply by taking pictures. Use magicplan to generate complete job estimates, view your space in 3D, plan DIY projects, or furnish your home. Create floor plans in minutes and edit them with ease. Add objects, photos, annotations, product price lists, tasks, and taxes in a single tap. Purchase your floor plans to get them in PDF, JPG, DXF, PNG, SVG, and CSV formats. Share them with any magicplan user. View them in 3D. Publish them as interactive floor plans on the web – or store them on the MagicPlan Cloud to view and edit them on multiple devices.
2018 marks the beginning of the end of smartphones in the world’s largest economies. What’s coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.
Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.
This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
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Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.
Augmented and virtual reality offer ways to immerse learners in experiences that can aid training in processes and procedures, provide realistic simulations to deepen empathy and build communication skills, or provide in-the-workflow support for skilled technicians performing complex procedures.
Badges and other digital credentials provide new ways to assess and validate employees’ skills and mark their eLearning achievements, even if their learning takes place informally or outside of the corporate framework.
Chatbots are proving an excellent tool for spaced learning, review of course materials, guiding new hires through onboarding, and supporting new managers with coaching and tips.
Content curation enables L&D professionals to provide information and educational materials from trusted sources that can deepen learners’ knowledge and help them build skills.
eBooks, a relative newcomer to the eLearning arena, offer rich features for portable on-demand content that learners can explore, review, and revisit as needed.
Interactive videos provide branching scenarios, quiz learners on newly introduced concepts and terms, offer prompts for small-group discussions, and do much more to engage learners.
Podcasts can turn drive time into productive time, allowing learners to enjoy a story built around eLearning content.
Smartphone apps, available wherever learners take their phones or tablets, can be designed to offer product support, info for sales personnel, up-to-date information for repair technicians, and games and drills for teaching and reviewing content; the possibilities are limited only by designers’ imagination.
Social platforms like Slack, Yammer, or Instagram facilitate collaboration, sharing of ideas, networking, and social learning. Adopting social learning platforms encourages learners to develop their skills and contribute to their communities of practice, whether inside their companies or more broadly.
xAPI turns any experience into a learning experience. Adding xAPI capability to any suitable tool or platform means you can record learner activity and progress in a learning record store (LRS) and track it.
How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:
Everyone in the learning arena learns to recognize weak signals; they work with technologists to refine artificial intelligence to instill values. Future machines learn not only to identify correct and incorrect answers; they also learn right and wrong. Webb said that she gives this optimistic scenario a 25 percent chance of occurring.
Everyone present is inspired by her talk but they, and the rest of the learning world, do nothing. Artificial intelligence continues to develop as it has in the past, learning to identify correct answers but lacking values. Webb’s prediction is that this pragmatic optimistic scenario has a 50 percent chance of occurring.
Learning and artificial intelligence continue to develop on separate tracks. Future artificial intelligence and machine learning projects incorporate real biases that affect what and how people learn and how knowledge is transferred. Webb said that she gives this catastrophic scenario a 25 percent chance of occurring.
In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”
Nearly nine in 10 college students — 87 percent — said it was important to them that the institutions they applied for were technologically savvy, according to a new survey from ed tech provider Ellucian.
More than half of students surveyed, 58 percent, said that of all the companies and institutions they engage with, their college is the one least likely to have personalized their experience.
Also see:
From DSC: With our students using Uber, Lyft, AirBnB, and other such personalized services from Amazon.com and others, expectations are now being impacted. That is, what they expect in terms of their learning experiences are being influenced from other areas of their every day lives. This impacts credibility, which impacts enrollments.
As Ellucian asserts:
For those who would minimize or outright discard the impacts that technologies have on higher education, or the impacts of — and relevance of — technologies within higher education, how are you going to deal with this tidal wave?
It’s an exciting time for augmented reality. With new AR platforms launching from the biggest names in tech over the last few months, including Apple’s ARKit and Google’s ARCore, retailers like Ikea, Wayfair, and Anthropologie have already released ARKit-powered apps, opening the door to consumer acceptance of AR as viable retail technology.
But across the board, early AR shopping apps still leave much to be desired. Sure, it’s useful to use AR to virtually place a new chair, side table, work of art or sectional into a room. But unless you’re starting with an empty room, physical objects can get in the way of a true sense of presence and satisfying experience.
Enter diminished reality — a different “reality” — that promises to change that. With DR, users will be able to digitally remove unwanted, inanimate objects from their physical surroundings, to get an even more realistic view of how potential purchases will fit within the context of their lives.
So, what exactly is DR, and what does it mean for the future of retail and beyond?
Also, a somewhat relevant/interesting HCI-related item, see:
By the end of this year, about 50 employees will have donned the Oculus Rift headsets and participated in the VR training program, said Farmers Insurance chief claims officer Keith Daly. The company plans for hundreds more to be trained using the next year, and, eventually, get all of its thousands of claims adjusters through the program, Daly said.
The goal is to build on the company’s existing two-to-three week training that workers attend before going into real world to inspect homes damaged in earthquakes, floods, and other major catastrophes.
What if a text or work of art is no longer read, but instead, experienced? What new questions are raised when it’s possible to visit an author’s home or stroll through the streets of an ancient city? How will our interpretations of literature, art, history and archaeology change when we are no longer passive recipients but co-constructors and actors in immersive experiences? How will this challenge us to think outside our current learning paradigms? These and other questions arise when we examine the impact of immersive technologies on the humanities and the social sciences.
Microsoft is launching its own answer to virtual reality today, taking on HTC and Oculus in the process. Windows Mixed Reality will be available in the Windows 10 Fall Creators Update, and headsets are now available to buy. Here’s everything you need to know about Windows Mixed Reality.
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Microsoft is offering movement tracking (six degrees of freedom) without the need for traditional external sensors placed throughout a room. Windows Mixed Reality headsets have cameras and sensors to track the motion controllers.
…Walmart, the world’s largest retailer, is setting its sights on virtual reality. Imagine this, says Katie Finnegan, who heads Walmart’s tech incubator: You need a tent for your next camping trip. If all goes to plan, you could one day virtually swoop in to your campsite and see any given tent in action. “You could unzip it, lay down, look left and right and say, ‘Oh, this is supposed to be a two-person tent? It’s kind of tight,’ ” she said. And then you could move on to the next tent — without leaving your couch.
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Here are the five ideas the Bentonville, Ark.-based company says could be making their way online:
3-D holograms at Bonobos.com, the male clothing site Walmart acquired this year for $310 million, that would make it possible for shoppers to try on virtual clothing for fit and style.
At ModCloth, the women’s clothing site Walmart took over in March, customers may one day be able to take 3-D photos of themselves using their smartphones, and use those images to get an idea of how something might look on.
An “interactive virtual store” for designer Rebecca Minkoff, whose items are sold at Walmart.com, would allow customers to sit in on fashion shows and shop directly from the runway.
Tired of shopping online alone? If Walmart gets its way, you may soon be interacting with other shoppers and experts as you pick out items for your virtual cart.
Electric outlets, stove tops and door handles can all be child safety hazards — and soon, an online tool could peek inside your home and tell you where the biggest risks are lurking.
NASA and Google have teamed up to build a new virtual experience that lets space enthusiasts explore the red planet without having to leave their homes. Dubbed as “Access Mars”, the new project virtually transports users, wherever they are, to Earth’s neighboring planet in the solar system.
Artificial intelligence is predicted to fundamentally alter the nature of society by 2040. Investment in AI start-ups was estimated at $6-$9 billion in 2016, up from US$415 million four years earlier. While futurist Ray Kurzweil argues that AI will help us to address the grand challenges facing humanity, Elon Musk warns us that artificial intelligence will be our “biggest existential threat.” Others argue that artificial intelligence is the future of growth. Everything depends on how we manage the transition to this AI-era.
In 2016 the Obama administration released a national strategic plan for artificial intelligence and, while we do not all suddenly now need a plan for artificial intelligence, we do need to stay up to date on how AI is being implemented. Much of AI’s potential is yet to be realized, but AI is already running our lives, from Siri to Netflix recommendations to automated air traffic control. We all need to become more aware of how we are algorithmically shaped by our tools.
This Australian discussion paper on the implications of AI, automation and 21st-century skills, shows how AI will not just affect blue-collar truck drivers and cleaners, it will also affect white-collar lawyers and doctors. Automated pharmacy systems with robots dispensing medication exist, Domino’s pizza delivery by drone has already occurred, and a fully automated farm is opening in Japan.
Education reformers need to plan for our AI-driven future and its implications for education, both in schools and beyond. The never-ending debate about the sorts of skills needed in the future and the role of schools in teaching and assessing them is becoming a whole lot more urgent and intense.
The right to due process was inscribed into the US constitution with a pen. A new report from leading researchers in artificial intelligence cautions it is now being undermined by computer code.
Public agencies responsible for areas such as criminal justice, health, and welfare increasingly use scoring systems and software to steer or make decisions on life-changing events like granting bail, sentencing, enforcement, and prioritizing services. The report from AI Now, a research institute at NYU that studies the social implications of artificial intelligence, says too many of those systems are opaque to the citizens they hold power over.
The AI Now report calls for agencies to refrain from what it calls “black box” systems opaque to outside scrutiny. Kate Crawford, a researcher at Microsoft and cofounder of AI Now, says citizens should be able to know how systems making decisions about them operate and have been tested or validated. Such systems are expected to get more complex as technologies such as machine learning used by tech companies become more widely available.
“We should have equivalent due-process protections for algorithmic decisions as for human decisions,” Crawford says. She says it can be possible to disclose information about systems and their performance without disclosing their code, which is sometimes protected intellectual property.
“We announce the appointment of a minister for artificial intelligence. The next global wave is artificial intelligence and we want the UAE to be more prepared for it.”
Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent— from nytimes.com by Cade Metz Nearly all big tech companies have an artificial intelligence project, and they are willing to pay experts millions of dollars to help get it done.
Excerpt:
Tech’s biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles. As they chase this future, they are doling out salaries that are startling even in an industry that has never been shy about lavishing a fortune on its top talent.
Typical A.I. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock, according to nine people who work for major tech companies or have entertained job offers from them. All of them requested anonymity because they did not want to damage their professional prospects.
With so few A.I. specialists available, big tech companies are also hiring the best and brightest of academia. In the process, they are limiting the number of professors who can teach the technology.
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