bots

Legal technology, today and tomorrow: Don’t get left behind [Betts]

On 02/21/2020, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, future, game-changing environment, ideas, innovation, law schools, legal technologies, legislatures / government / legal, workplace, by Daniel Christian

Legal technology, today and tomorrow: Don’t get left behind — from law.com by Jenn Betts
Staying on top of these developments is no longer enough to “future proof” your practice or your firm. It is imperative to look forward to avoid falling behind.

Excerpt:

Among other kinds of disruptive AI-powered tools already on the market are:

Artificial intelligence-enabled document review tools and platforms (which make review of discovery materials quicker and cheaper);
Artificial intelligence-enabled tools assisting organizations with selecting outside counsel (which promise more data-driven assessments of “fit” between the firm, client and case);
Artificial intelligence patent search engines (which make patent searching easier and more accurate); and
Artificial intelligence-powered systems delivering early-stage litigation services, such as drafting answers to complaints, discovery requests and responses, and litigation timelines (which decreases client costs and delivers greater efficiencies).

These tools raise interesting (and largely unanswered) practical and ethical issues relating to the scope of the practice of law, AI disclosure obligations to clients, confidentiality issues regarding client data and the necessity of independent judgment by attorneys.

The pace of development of AI and other advanced technologies is moving at an unprecedented pace.

From DSC:
I agree. The pace of change has changed. It’s now an exponential pace of change. This new pace is having an increasing impact on the legal industry.

The 5 top tech skills companies want in new hires right now — from fortune.com by Anne Fisher; with thanks to Ryan Craig for his relaying this resource

Excerpts (emphasis DSC):

Tim Tully agrees. Chief technology officer at data giant Splunk—whose clients number 92 of the Fortune 100—Tully says that the most important trait IT job candidates need now is “a strong desire to learn.” It might be too broad of a requirement, but consider Tully’s own list of the five most essential tech skills now:

1. Real-time data management
2. Design thinking
3. App development
4. A.I. and machine learning
5. A composite of the first four skills

From DSC:
I’m especially posting this for students who are considering a tech-related career. If that’s you, Tim’s words ring true — you must have a strong desire to learn. And I would add, to keep learning and to keep learning and to keep learning…

If you are in IT, it’s wise to check in regularly on career progress – because staying still for too long could quickly lead to falling behind. (source)

Also, given the pace of change and today’s current marketplace, you need to be ready to be let go and take a right turn (i.e., be flexible and adaptable). You need to have a healthy learning ecosystem built up and maintained — one that will support you over the long haul. Heutagogy comes into play here. And at least for me, prayer helps greatly here too — as one can easily put one’s eggs into the wrong basket(s) when we’re talking about tech-related jobs.

And for you applying for jobs, don’t get discouraged by those organizations/people who are looking for those “purple unicorns” that Ryan Craig talks about in his Gap Letter Volume II, #4 (i.e., the perfect candidate who meets a ridiculously long list of requirements for the job).

Also see:

Below is a relevant excerpt from that report:

How to Hire a Great Data Scientist [toptal.com]

On 02/15/2020, in analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, data related items, Natural Language Processing (NLP), platforms, student-related, voice recognition / voice enabled interfaces, workplace, youth, by Daniel Christian

How to Hire a Great Data Scientist — from toptal.com; with thanks to Kathlyn Tantuan for this resource.

Excerpt:

What makes a great data scientist? The answer depends on the branch of data science in question and your specific needs, but all data scientists inevitably share a core set of skills. This comprehensive hiring guide outlines critical skills and explains how to pick the right data scientist for the job.

6 Ed Tech Trends to Watch in 2020 [Kelly, Burns, Frazee, & Perez]

On 02/13/2020, in accessibility / UDL, adjunct faculty, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business side of he, career development, change, changing business models, collaboration, colleges, community colleges, data related items, digital learning, digital video, education technology, emerging technologies, engagement / engaging students, future of higher education, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, learning ecosystem, Mixed Reality (MR), tools, trends, United States, universities, Virtual Reality (VR) / worlds / learning, vision/possibilities, workplace, by Daniel Christian

6 Ed Tech Trends to Watch in 2020 — from campustechnology.com by Rhea Kelly with:

Bridget Burns, Executive Director, University Innovation Alliance
James Frazee, Chief Academic Technology Officer and Associate VP, Instructional Technology Services, San Diego State University
Ernie Perez
Director, Educational Technology, Digital Learning & Innovation, Boston University

This year’s top issues in education technology reflect the bigger picture of a student’s pathway from individual courses all the way to graduation and career.

Topics include:

1) Workforce Readiness
2) Artificial Intelligence and Chatbots
3) Extended Reality (XR)
4) Video and Accessibility
5) Predictive Analytics and Advising
6) Industry Partnerships

A.I. breakthroughs in natural-language processing are big for business [Kahn]

On 01/21/2020, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, corporate / business world, emerging technologies, Natural Language Processing (NLP), tools, trends, vendors, by Daniel Christian

A.I. breakthroughs in natural-language processing are big for business — from fortune.com by Jeremy Kahn

Excerpt:

Over the past 18 months, though, computer scientists have made huge strides in creating algorithms with unprecedented abilities at a variety of language tasks. What’s more, these new algorithms are making the leap from the lab and into real products at a breakneck pace—already changing the way tech’s biggest players, and many other businesses, operate. The Natural Language Processing (NLP) revolution promises better search engines and smarter chatbots and digital assistants. It could lead to systems that automatically analyze—and maybe even compose— legal documents and medical records. But some believe the NLP revolution will do far more.

120 AI predictions for 2020 — from forbes.com by Gil Press

Excerpt:

As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month.

2019 AI report tracks profound growth — from ide.mit.edu by Paula Klein

Excerpt:

Until now “we’ve been sorely lacking good data about basic questions like ‘How is the technology advancing’ and ‘What is the economic impact of AI?’ ” Brynjolfsson said. The new index, which tracks three times as many data sets as last year’s report, goes a long way toward providing answers.

…

Education

At the graduate level, AI has rapidly become the most popular specialization among computer science PhD students in North America. In 2018, over 21% of graduating Computer Science PhDs specialize in Artificial Intelligence/Machine Learning.
Industry is the largest consumer of AI talent. In 2018, over 60% of AI PhD graduates went to industry, up from 20% in 2004.
In the U.S., AI faculty leaving academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

In the U.S., #AI faculty leaving #academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

Virtual access to legal assistance becoming mainstream is hopefully not far off!

From DSC:
Along these lines, we’ll likely see more bots and virtual legal assistants that we will be able to ask questions of.

#A2J #AccessToJustice #legal #lawyers #society #legaltech #bots #videoconferencing #AI #bots #VirtualAssistants

Along these lines, also see:

Innovative and inspired: How this US law school is improving access to justice — from studyinternational.com

Excerpt:

Though court and other government websites in the US provide legal information, knowing what to search for and understanding legal jargon can be difficult for lay people.

Spot, software that is being developed at the LIT Lab, aims to fix this.

“You know you have a housing problem. But very few people think about their housing problems in terms of something like constructive eviction,” explains David Colarusso, who heads the LIT Lab. “The idea is to have the tool be able to spot those issues based upon people’s own language.”

Developed by Colarusso and students, Spot uses a machine-based algorithm to understand legal queries posed by lay persons. With Spot, entering a question in plain English like “My apartment is so moldy I can’t stay there anymore. Is there anything I can do?” brings up search results that would direct users to the right legal issue. In this case, the query is highly likely to be related to a housing issue or, more specifically, to the legal term “constructive eviction.”

Lastly, here’s an excerpt from INSIGHT: What’s ‘Innovative’ in BigLaw? It’s More Than the Latest Tech Tools — from news.bloomberglaw.com by Ryan Steadman and Mark Brennan

Top Innovation Factors for Success

The first step is always to observe and listen.
True innovation is about rigorously defining a client problem and then addressing it through a combination of workflow process, technology, and people.
Leave aside the goal of wholesale transformation and focus instead on specific client use cases.

Before revving the engines in the innovation process, the safety check comes first. Successful innovation requires a deliberate, holistic approach that takes into consideration people, process, and technology. Firms and vendors that listen and learn before implementing significant change will stand apart from competitors—and help ensure long-term success.

AI innovators should be listening to kids — from wired.com by Urs Gasser, executive director of the Berkman Klein Center for Internet & Society at Harvard University, the principal investigator of the Center’s Youth and Media project, and a professor at Harvard Law School.
Input from the next generation is crucial when it comes to navigating the challenges of new technologies.

Excerpts:

With another monumental societal transformation on the horizon—the rise of artificial intelligence—we have an opportunity to engage the power and imagination of youth to shape the world they will inherit. Many of us were caught off guard by the unintended consequences of the first wave of digital technologies, from mass surveillance to election hacking. But the disruptive power of the internet to date only sets the stage for the even more radical changes AI will produce in the coming decades.

Instead of waiting for the youth to respond to the next crisis, we should proactively engage them as partners in shaping our AI-entangled future.

Young people have a right to participate as we make critical choices that will determine what kind of technological world we leave for them and future generations. They also have unique perspectives to contribute as the first generation to grow up surrounded by AI shaping their education, health, social lives, leisure, and career prospects.

Youth have the most at stake, and they also have valuable perspectives and experiences to contribute. If we want to take control of our digital future and respond effectively to the disruptions new technology inevitably brings, we must listen to their voices.

“Much of what’s being sold as ‘AI’ today is snake oil.” [Arvind Narayanan; Assoc. Prof. of CS at Princeton ]

On 11/22/2019, in adjunct faculty, analytics, Artificial Intelligence/Agents/LLMs/and Related, blogs / blogging / vlogging, bots, change, collaboration, communications, computer science, copyright/ownership/NFTs, corporate / business world, engineering, ethics, faculty/staff, health, ideas, innovation, learning, learning ecosystem, Natural Language Processing (NLP), Near Field Communication (NFC), platforms, productivity / tips and tricks, robotics, social learning / networks, social media, tools, United States, universities, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Much of what’s being sold as “AI” today is snake oil. It does not and cannot work. In a talk at MIT yesterday, I described why this happening, how we can recognize flawed AI claims, and push back. Here are my annotated slides: https://t.co/iCpyFw5urN pic.twitter.com/pmOTI3vq8p

— Arvind Narayanan (@random_walker) November 19, 2019

From DSC:
I wish that more faculty members would share their research, teaching methods, knowledge, and commentary with the world as this professor does (vs. talking to other professors behind publishers’ walled off content). In this case, Arvind happens to use Twitter. But if one doesn’t like to use Twitter, there’s also LinkedIn, WordPress/blogging, podcasting, and other outlets.

6 critical IT skills for the next decade: Bay Area CIO of the Year winners share — from enterprisersproject.com by Ginny Hamilton
What skills will IT talent need most? Six award-winning CIOs discuss the top skills on their radar screens – from AI to emotional intelligence

I’d highly recommend all technology professionals build their external network and contribute to the external professional community as early in your career as possible. The wisdom of the tech community is incredibly important, and because you have to curate this over an extended period of time, there is no accelerated option you can tap at a later date. Technology professionals need to constantly be re-inventing themselves to stay relevant. As technology evolves, so too do the people and roles around it. Constant change is the steady state today and as I tell my team, “The pain of change is mandatory, it is the suffering that is optional. And if you don’t like change, you are going to like irrelevance even less.”

From DSC:
This is an especially good read for students who are considering going into a tech-focused career. If you decide to go that route, you had better be ready for constant change….constant, lifelong learning. And as you get older, you will face age discrimination. Enjoy the jobs that you get from ages 18-30 (perhaps even up to age 35). After that, it gets much tougher. Hopefully, that situation will change as more organizations get sued for allowing this discrimination to continue (perhaps implementing is the more appropriate word…vs. allowing it to occur). Here are some examples of those kinds of issues/suits. But for now, that’s the state of things…at least here in the United States.

In Search of a Conversational Bot: Voice Computing Evolves [Pamela Hogle]

On 11/18/2019, in Artificial Intelligence/Agents/LLMs/and Related, bots, corporate universities / corporate training, emerging technologies, learning, learning ecosystem, Learning from the Living [Class] Room, Natural Language Processing (NLP), platforms, tools, training / L&D, trends, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

In Search of a Conversational Bot: Voice Computing Evolves — from learningsolutionsmag.com by Pamela Hogle

Excerpts:

Voice computing is rapidly changing the way people interact with technology, which will have dramatic impact on how learners expect to interact with eLearning technology.

Using conversational AI in an eLearning context, where learners are focused on a single topic or narrow range of content, could become feasible before developers achieve the goal of an AI that excels at general conversation.

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

On 11/13/2019, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, Blockchain, bots, business, Canada, career development, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, communications, computer science, content development, aggregation, repositories, convergence, corporate / business world, creativity, digital audio, digital photography, digital video, drama/theater, education technology, educational games / serious games, emerging technologies, engagement / engaging students, engineering, entrepreneurship, Europe, experimentation, Facebook / Meta Platforms, future, game-changing environment, generational differences, global / globalization, Google, human-computer interaction (HCI), IBM, ideas, immersion, India, innovation, intelligent systems, interactivity, internet, law schools, leadership, learning ecosystem, legislatures / government / legal, media/film, Microsoft, Mixed Reality (MR), multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), parents/guardians, photography, platforms, policy, privacy, programming, psychology, publishing, robotics, social learning / networks, social media, society, strategy, streams of content, technology (general), telecommunications, television, tools, trends, TVs, United States, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, wearables, workplace, XR - extended reality, youth, by Daniel Christian

FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com

Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.

157 trends
28 optimistic, pragmatic and catastrophic scenarios
10 non-technical primers and glossaries
Overview of what events to anticipate in 2020
Actionable insights to use within your organization

KEY TAKEAWAYS

Synthetic media offers new opportunities and challenges.
Authenticating content is becoming more difficult.
Regulation is coming.
We’ve entered the post-fixed screen era.
Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
Digital subscription models aren’t working.
Advancements in AI will mean greater efficiencies.

What happens when employers can read your facial expressions? — from nytimes.com by Evan Selinger and Woodrow Hartzog
The benefits do not come close to outweighing the risks.

Excerpts:

The essential and unavoidable risks of deploying these tools are becoming apparent. A majority of Americans have functionally been put in a perpetual police lineup simply for getting a driver’s license: Their D.M.V. images are turned into faceprints for government tracking with few limits. Immigration and Customs Enforcement officials are using facial recognition technology to scan state driver’s license databases without citizens’ knowing. Detroit aspires to use facial recognition for round-the-clock monitoring. Americans are losing due-process protections, and even law-abiding citizens cannot confidently engage in free association, free movement and free speech without fear of being tracked.

“Notice and choice” has been an abysmal failure. Social media companies, airlines and retailers overhype the short-term benefits of facial recognition while using unreadable privacy policies and vague disclaimers that make it hard to understand how the technology endangers users’ privacy and freedom.

From DSC:
This article illustrates how far behind the legal realm is in the United States when we look at where our society is at with wrestling with emerging technologies. Dealing with this relatively new *exponential* pace of change is very difficult for many of our institutions to deal with (higher education and the legal realm come to my mind here).

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