bots

Microsoft built a chat bot to match patients to clinical trials [Bass]

On 03/02/2019, in 21st century, bots, computer science, health, Microsoft, nursing, programming, society, tools, vendors, by Daniel Christian

Microsoft built a chat bot to match patients to clinical trials — from fortune.com by Dina Bass

Excerpt:

A chat bot that began as a hackathon project at Microsoft’s lab in Israel makes it easier for sick patients to find clinical trials that could provide otherwise unavailable medicines and therapies.

The Clinical Trials Bot lets patients and doctors search for studies related to a disease and then answer a succession of text questions. The bot then suggests links to trials that best match the patients’ needs. Drugmakers can also use it to find test subjects.

Half of all clinical trials for new drugs and therapies never reach the number of patients needed to start, and many others are delayed for the same reason, Bitran said. Meanwhile patients, sometimes desperately sick, find it hard to comb through the roughly 50,000 trials worldwide and their arcane and lengthy criteria—typically 20 to 30 factors. Even doctors struggle to search quickly on behalf of patients, Bitran said.

“The 10+ best real-world examples of AR” [Marr] + Mondly (your own virtual language learning assistant)

On 03/01/2019, in 3D, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, attention, bots, digital learning, education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, K-12 related, languages and translation, learning, learning ecosystem, multimedia, social learning / networks, social media, tools, ubiquitous learning, usability, user experience (UX), user interface design, vendors, XR - extended reality, by Daniel Christian

The 10+ best real-world examples of augmented reality — from forbes.com by Bernard Marr

Excerpt:

Augmented reality (AR) can add value, solve problems and enhance the user experience in nearly every industry. Businesses are catching on and increasing investments to drive the growth of augmented reality, which makes it a crucial part of the tech economy.

As referenced by Bernard in his above article:

From DSC:
Along these lines, I really appreciate the “translate” feature within Twitter. It helps open up whole new avenues of learning for me from people across the globe. A very cool, practical, positive, beneficial feature/tool!!!

81% of legal departments aren’t ready for digitization: Gartner [The Mitratech Team]

On 03/01/2019, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, career development, change, changing business models, corporate / business world, law schools, legislatures / government / legal, new business models, tools, trends, vendors, workplace, by Daniel Christian

81% of legal departments aren’t ready for digitization: Gartner — from mitratech.com by The Mitratech Team

Excerpt:

Despite the efforts of Legal Operations legal tech adopters and advocates, and the many expert voices raised about the need to evolve the legal industry? A Gartner, Inc. report finds the vast majority of in-house legal departments are unprepared for digital transformation.

In compiling the report, Gartner reviewed the roles of legal departments in no less than 1,715 digital business projects. They also conducted interviews with over 100 general counsel and privacy officers, and another 100 legal stakeholders at large companies.

The reveal? That 81% of legal departments weren’t prepared for the oncoming tide of digitization at their companies. That leaves them at a disadvantage when one considers the results of Gartner’s CEO Survey. Two-thirds of its CEO respondents predicted their business models would change in the next three years, with digitization as a major factor.

Also relevant here/see:
AI Pre-Screening Technology: A New Era for Contracts? — from by Tim Pullan, CEO and Founder, ThoughtRiver

Excerpt:

However, enterprises are beginning to understand the tangible value that can be delivered by automated contract pre-screening solutions. Such technology can ask thousands of questions defined by legal experts, and within minutes deliver an output weighing up the risks and advising next steps. Legal resources are then only required to follow up on these recommendations, whether they be a change to a clause, removing common bottlenecks altogether, or acting quickly to monetise a business opportunity.

There are clear benefits for both the legal team and the business. The GC’s team spends more time on enterprise-wide strategy and supporting other departments, while the business can move at pace and gain considerable competitive advantage.

Reflections on two articles involving the downsides of/warnings re: AI

On 02/16/2019, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, Daniel S. Christian, data related items, ethics, Google, law schools, legislatures / government / legal, Microsoft, morals/values, society, technology (general), the downsides of how people use tech, tools, by Daniel Christian

Google and Microsoft warn that AI may do dumb things — from wired.com by Tom Simonite

Excerpt:

Alphabet likes to position itself as a leader in AI research, but it was six months behind rival Microsoft in warning investors about the technology’s ethical risks. The AI disclosure in Google’s latest filing reads like a trimmed down version of much fuller language Microsoft put in its most recent annual SEC report, filed last August:

“AI algorithms may be flawed. Datasets may be insufficient or contain biased information. Inappropriate or controversial data practices by Microsoft or others could impair the acceptance of AI solutions. These deficiencies could undermine the decisions, predictions, or analysis AI applications produce, subjecting us to competitive harm, legal liability, and brand or reputational harm.”

Chinese company leaves Muslim-tracking facial recognition database exposed online — from by Catalin Cimpanu
Researcher finds one of the databases used to track Uyghur Muslim population in Xinjiang.

Excerpt:

One of the facial recognition databases that the Chinese government is using to track the Uyghur Muslim population in the Xinjiang region has been left open on the internet for months, a Dutch security researcher told ZDNet.

The database belongs to a Chinese company named SenseNets, which according to its website provides video-based crowd analysis and facial recognition technology.
…
The user data wasn’t just benign usernames, but highly detailed and highly sensitive information that someone would usually find on an ID card, Gevers said. The researcher saw user profiles with information such as names, ID card numbers, ID card issue date, ID card expiration date, sex, nationality, home addresses, dates of birth, photos, and employer.
…
Some of the descriptive names associated with the “trackers” contained terms such as “mosque,” “hotel,” “police station,” “internet cafe,” “restaurant,” and other places where public cameras would normally be found.

From DSC:
Readers of this blog will know that I’m generally pro-technology. But especially focusing in on that last article, to me, privacy is key here. For which group of people from which nation is next? Will Country A next be tracking Christians? Will Country B be tracking people of a given sexual orientation? Will Country C be tracking people with some other characteristic?

Where does it end? Who gets to decide? What will be the costs of being tracked or being a person with whatever certain characteristic one’s government is tracking? What forums are there for combating technologies or features of technologies that we don’t like or want?

We need forums/channels for raising awareness and voting on these emerging technologies. We need informed legislators, senators, lawyers, citizens…we need new laws here…asap.

The real reason tech struggles with algorithmic bias [Eisenstat]

On 02/13/2019, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, computer science, emerging technologies, ethics, Facebook / Meta Platforms, Google, morals/values, professional development, programming, society, the downsides of how people use tech, tools, United States, vendors, by Daniel Christian

The real reason tech struggles with algorithmic bias — from wired.com by Yael Eisenstat

Excerpts:

ARE MACHINES RACIST? Are algorithms and artificial intelligence inherently prejudiced? Do Facebook, Google, and Twitter have political biases? Those answers are complicated.

But if the question is whether the tech industry doing enough to address these biases, the straightforward response is no.
…
Humans cannot wholly avoid bias, as countless studies and publications have shown. Insisting otherwise is an intellectually dishonest and lazy response to a very real problem.
…
In my six months at Facebook, where I was hired to be the head of global elections integrity ops in the company’s business integrity division, I participated in numerous discussions about the topic. I did not know anyone who intentionally wanted to incorporate bias into their work. But I also did not find anyone who actually knew what it meant to counter bias in any true and methodical way.

But the company has created its own sort of insular bubble in which its employees’ perception of the world is the product of a number of biases that are engrained within the Silicon Valley tech and innovation scene.

Google is bringing translation to its Home speakers [Newman]

On 02/08/2019, in 21st century, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, bots, Google, innovation, languages and translation, Natural Language Processing (NLP), platforms, technologies for your home, voice recognition / voice enabled interfaces, by Daniel Christian

Google is bringing translation to its Home speakers — from businessinsider.com by Peter Newman

Excerpt:

Google has added real-time translation capabilities to its Google Home smart speakers, the Home Hub screened speaker, as well as other screened devices from third parties, according to Android Police.

Also see:

Google Assistant is now your multilingual interpreter — from androidpolice.com by Hagop Kavafian

AI bias: 9 questions leaders should ask [Casey]

On 02/01/2019, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, corporate / business world, emerging technologies, human-computer interaction (HCI), ideas, intelligent systems, MBA, organizational change, platforms, workplace, by Daniel Christian

AI bias: 9 questions leaders should ask — from enterprisersproject.com by Kevin Casey
Artificial intelligence bias can create problems ranging from bad business decisions to injustice. Use these questions to fight off potential biases in your AI systems.

Excerpt:

People questions to ask about AI bias
1. Who is building the algorithms?
2. Do your AI & ML teams take responsibility for how their work will be used?
3. Who should lead an organization’s effort to identify bias in its AI systems?
4. How is my training data constructed?

Data questions to ask about AI bias
5. Is the data set comprehensive?
6. Do you have multiple sources of data?

Management questions to ask about AI bias
7. What proportion of resources is appropriate for an organization to devote to assessing potential bias?
8. Have you thought deeply about what metrics you use to evaluate your work?
9. How can we test for bias in training data?

Emerging technology trends can seem both elusive and ephemeral, but some become integral to business and IT strategies—and form the backbone of tomorrow’s technology innovation. The eight chapters of Tech Trends 2019 look to guide CIOs through today’s most promising trends, with an eye toward innovation and growth and a spotlight on emerging trends that may well offer new avenues for pursuing strategic ambitions.

Two articles regarding Artificial Intelligence (AI) in the K-12 classroom

On 01/26/2019, in 21st century, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, bots, computer science, curriculum, digital learning, education, education technology, emerging technologies, engagement / engaging students, Google, K-12 related, online learning, teachers, United States, youth, by Daniel Christian

Online curricula helps teachers tackle AI in the classroom — from educationdive.com by Lauren Barack

Dive Brief:

Schools may already use some form of artificial intelligence (AI), but hardly any have curricula designed to teach K-12 students how it works and how to use it, wrote EdSurge. However, organizations such as the International Society for Technology in Education (ISTE) are developing their own sets of lessons that teachers can take to their classrooms.
Members of “AI for K-12” — an initiative co-sponsored by the Association for the Advancement of Artificial Intelligence and the Computer Science Teachers Association — wrote in a paper that an AI curriculum should address five basic ideas:
- Computers use sensors to understand what goes on around them.
- Computers can learn from data.
- With this data, computers can create models for reasoning.
- While computers are smart, it’s hard for them to understand people’s emotions, intentions and natural languages, making interactions less comfortable.
- AI can be a beneficial tool, but it can also harm society.
These kinds of lessons are already at play among groups including the Boys and Girls Club of Western Pennsylvania, which has been using a program from online AI curriculum site ReadyAI. The education company lent its AI-in-a-Box kit, which normally sells for $3,000, to the group so it could teach these concepts.

AI curriculum is coming for K-12 at last. What will it include? — from edsurge.com by Danielle Dreilinger

Excerpt:

Artificial intelligence powers Amazon’s recommendations engine, Google Translate and Siri, for example. But few U.S. elementary and secondary schools teach the subject, maybe because there are so few curricula available for students. Members of the “AI for K-12” work group wrote in a recent Association for the Advancement of Artificial Intelligence white paper that “unlike the general subject of computing, when it comes to AI, there is little guidance for teaching at the K-12 level.”

But that’s starting to change. Among other advances, ISTE and AI4All are developing separate curricula with support from General Motors and Google, respectively, according to the white paper. Lead author Dave Touretzky of Carnegie Mellon has developed his own curriculum, Calypso. It’s part of the “AI-in-a-Box” kit, which is being used by more than a dozen community groups and school systems, including Carter’s class.

What does it say when a legal blockchain eBook has 1.7M views (in 2 weeks time)? [Cohen]

On 01/24/2019, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, Australia, Blockchain, bots, career development, change, emerging technologies, human-computer interaction (HCI), intelligent systems, internet, law schools, legislatures / government / legal, pace of change, technology (general), vendors, workplace, by Daniel Christian

What does it say when a legal blockchain eBook has 1.7M views? — from legalmosaic.com by Mark A. Cohen

Excerpts (emphasis DSC):

“Blockchain For Lawyers,” a recently-released eBook by Australian legal tech company Legaler, drew 1.7M views in two weeks. What does that staggering number say about blockchain, legal technology, and the legal industry? Clearly, blockchain is a hot legal topic, along with artificial intelligence (AI), and legal tech generally.
…
Legal practice and delivery are each changing. New practice areas like cryptocurrency, cybersecurity, and Internet law are emerging as law struggles to keep pace with the speed of business change in the digital age. Concurrently, several staples of traditional practice–research, document review, etc.– are becoming automated and/or no longer performed by law firm associates. There is more “turnover” of practice tasks, more reliance on machines and non-licensed attorneys to mine data and provide domain expertise used by lawyers, and more collaboration than ever before. The emergence of new industries demands that lawyers not only provide legal expertise in support of new areas but also that they possess intellectual agility to master them quickly. Many practice areas law students will encounter have yet to be created. That means that all lawyers will be required to be more agile than their predecessors and engage in ongoing training.

Amazon has 10,000 employees dedicated to Alexa — here are some of the areas they’re working on [Hartmans]

On 01/23/2019, in 21st century, 24x7x365 access, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, Bring your own device (BYOD), business, Canvas - and other Instructure-related items, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, computer science, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, education technology, emerging technologies, experimentation, future, game-changing environment, global / globalization, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning spaces, lifelong learning, microlearning, mobile learning, Natural Language Processing (NLP), Near Field Communication (NFC), personalized/customized learning, platforms, productivity / tips and tricks, smart classrooms, society, technologies for your home, tools, training / L&D, trends, TVs, United States, using teams, vendors, vision/possibilities, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Amazon has 10,000 employees dedicated to Alexa — here are some of the areas they’re working on — from businessinsider.com by Avery Hartmans

Summary (emphasis DSC):

Amazon’s vice president of Alexa, Steve Rabuchin, has confirmed that yes, there really are 10,000 Amazon employees working on Alexa and the Echo.
Those employees are focused on things like machine learning and making Alexa more knowledgeable.
Some employees are working on giving Alexa a personality, too.

From DSC:
How might this trend impact learning spaces? For example, I am interested in using voice to intuitively “drive” smart classroom control systems:

“Alexa, turn on the projector”
“Alexa, dim the lights by 50%”
“Alexa, open Canvas and launch my Constitutional Law I class”

Gartner survey shows 37% of organizations have implemented AI in some form [gartner.com]

On 01/21/2019, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, change, computer science, corporate / business world, corporate universities / corporate training, emerging technologies, pace of change, platforms, programming, workplace, by Daniel Christian

Gartner survey shows 37% of organizations have implemented AI in some form — from gartner.com
Despite talent shortages, the percentage of enterprises employing AI grew 270% over the past four years

Excerpt:

The number of enterprises implementing artificial intelligence (AI) grew 270 percent in the past four years and tripled in the past year, according to the Gartner, Inc. 2019 CIO Survey. Results showed that organizations across all industries use AI in a variety of applications, but struggle with acute talent shortages.

The deployment of AI has tripled in the past year — rising from 25 percent in 2018 to 37 percent today. The reasons for this big jump is that AI capabilities have matured significantly and thus enterprises are more willing to implement the technology. “We still remain far from general AI that can wholly take over complex tasks, but we have now entered the realm of AI-augmented work and decision science — what we call ‘augmented intelligence,’” Mr. Howard added.

Key Findings from the “2019 CIO Survey: CIOs Have Awoken to the Importance of AI”

The percentage of enterprises deploying artificial intelligence (AI) has tripled in the past year.
CIOs picked AI as the top game-changer technology.
Enterprises use AI in a wide variety of applications.
AI suffers from acute talent shortages.

A new type of TV show — Part II

On 01/12/2019, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, computer science, Daniel S. Christian, IBM, ideas, intelligent systems, media/film, platforms, programming, by Daniel Christian

From DSC:
In this posting, I discussed an idea for a new TV show — a program that would be both entertaining and educational. So I suppose that this posting is a Part II along those same lines.

The program that came to my mind at that time was a program that would focus on significant topics and issues within American society — offered up in a debate/presentation style format.

I had envisioned that you could have different individuals, groups, or organizations discuss the pros and cons of an issue or topic. The show would provide contact information for helpful resources, groups, organizations, legislators, etc. These contacts would be for learning more about a subject or getting involved with finding a solution for that problem.

OR

…as I revist that idea today…perhaps the show could feature humans versus an artificial intelligence such as IBM’s Project Debater:

Project Debater is the first AI system that can debate humans on complex topics. Project Debater digests massive texts, constructs a well-structured speech on a given topic, delivers it with clarity and purpose, and rebuts its opponent. Eventually, Project Debater will help people reason by providing compelling, evidence-based arguments and limiting the influence of emotion, bias, or ambiguity.

The five most important new jobs in AI, according to KPMG — from qz.com by Cassie Werber

Excerpt:

Perhaps as a counter to the panic that artificial intelligence will destroy jobs, consulting firm KPMG published a list (on 1/8/19) of what it predicts will soon become the five most sought-after AI roles. The predictions are based on the company’s own projects and those on which it advises. They are:

AI Architect – Responsible for working out where AI can help a business, measuring performance and—crucially— “sustaining the AI model over time.” Lack of architects “is a big reason why companies cannot successfully sustain AI initiatives,” KMPG notes.
AI Product Manager – Liaises between teams, making sure ideas can be implemented, especially at scale. Works closely with architects, and with human resources departments to make sure humans and machines can all work effectively.
Data Scientist – Manages the huge amounts of available data and designs algorithms to make it meaningful.
AI Technology Software Engineer – “One of the biggest problems facing businesses is getting AI from pilot phase to scalable deployment,” KMPG writes. Software engineers need to be able both to build scalable technology and understand how AI actually works.
AI Ethicist – AI presents a host of ethical challenges which will continue to unfold as the technology develops. Creating guidelines and ensuring they’re upheld will increasingly become a full-time job.

While it’s all very well to list the jobs people should be training and hiring for, it’s another matter to actually create a pipeline of people ready to enter those roles. Brad Fisher, KPMG’s US lead on data and analytics and the lead author of the predictions, tells Quartz there aren’t enough people getting ready for these roles.

Fisher has a steer for those who are eyeing AI jobs but have yet to choose an academic path: business process skills can be “trained,” he said, but “there is no substitute for the deep technical skillsets, such as mathematics, econometrics, or computer science, which would prepare someone to be a data scientist or a big-data software engineer.”

From DSC:
I don’t think institutions of higher education (as well as several other types of institutions in our society) are recognizing that the pace of technological change has changed, and that there are significant ramifications to those changes upon society. And if these institutions have picked up on it, you can hardly tell. We simply aren’t used to this pace of change.

Technologies change quickly. People change slowly. And, by the way, that is not a comment on how old someone is…change is hard at almost any age.

Ten HR trends in the age of artificial intelligence [Meister]

On 01/09/2019, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, change, computer science, corporate / business world, corporate universities / corporate training, education, education technology, emerging technologies, entrepreneurship, ethics, future, game-changing environment, intelligent systems, intelligent tutoring, learning, learning ecosystem, Learning from the Living [Class] Room, morals/values, Natural Language Processing (NLP), personalized/customized learning, platforms, professional development, reinvent, staying relevant, surviving, tools, training / L&D, trends, vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Ten HR trends in the age of artificial intelligence — from fortune.com by Jeanne Meister
The future of HR is both digital and human as HR leaders focus on optimizing the combination of human and automated work. This is driving a new HR priority: requiring leaders and teams to develop fluency in artificial intelligence while they re-imagine HR to be more personal, human, and intuitive.

Excerpt from 21 More Jobs Of the Future (emphasis DSC):

Voice UX Designer: This role will leverage voice as a platform to deliver an “optimal” dialect and sound that is pleasing to each of the seven billion humans on the planet. The Voice UX Designer will do this by creating a set of AI tools and algorithms to help individuals find their “perfect voice” assistant.

Head of Business Behavior: The head of business behavior will analyze employee behavioral data such as performance data along with data gathered through personal, environmental and spatial sensors to create strategies to improve employee experience, cross company collaboration, productivity and employee well-being.

The question for HR leaders is: What are new job roles in HR that are on the horizon as A.I. becomes integrated into the workplace?

Chief Ethical and Humane Use Officer: This job role is already being filled by Salesforce announcing its first Chief Ethical and Humane Officer this month. This new role will focus on developing strategies to use technology in an ethical and humane way. As practical uses of AI have exploded in recent years, we look for more companies to establish new jobs focusing on ethical uses of AI to ensure AI’s trustworthiness, while also helping to diffuse fears about it.

A.I. Trainer: This role allows the existing knowledge you have about a job to be ready for A.I. to use. Creating knowledge for an A.I. supported workplace requires individuals to tag or “annotate” discrete knowledge nuggets so the correct data is served up in a conversational interface. This role is increasingly important as the role of a recruiter is augmented by AI.

Also see:

Experts Weigh in on Merits of AI in Education — from by Dian Schaffhauser
Excerpt:
Will artificial intelligence make most people better off over the next decade, or will it redefine what free will means or what a human being is? A new report by the Pew Research Center has weighed in on the topic by conferring with some 979 experts, who have, in summary, predicted that networked AI “will amplify human effectiveness but also threaten human autonomy, agency and capabilities.”
…
These same experts also weighed in on the expected changes in formal and informal education systems. Many mentioned seeing “more options for affordable adaptive and individualized learning solutions,” such as the use of AI assistants to enhance learning activities and their effectiveness.

Learning Ecosystems

Microsoft built a chat bot to match patients to clinical trials [Bass]

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