Example articles from the Privacy Project:

  • James Bennet: Do You Know What You’ve Given Up?
  • A. G. Sulzberger: How The Times Thinks About Privacy
  • Samantha Irby: I Don’t Care. I Love My Phone.
  • Tim Wu: How Capitalism Betrayed Privacy

 

 

Cathedral Thinking – Designing for the Next Century — from tarunagoel.blogspot.com by Taruna Goel

Excerpts:

Cathedral thinking involves taking a leap and imagining the bigger picture and realizing that while it may seem that you are a small part, you play an important role in how that bigger picture will eventually emerge. It means realizing that your decisions today will lead to consequences in the future that you may or may not live to see but others will.
I think the concept has a key role to play in how we design for learning especially considering the future of work and the future of learning including multi generational learning in the context of Artificial Intelligence, machine learning and other adaptive learning technologies.

With the cathedral thinking mindset, there are many questions that I am pondering about…

 

 

Microsoft rolls out healthcare bot: How it will change healthcare industry — from yourtechdiet.com by Brian Curtis

Excerpt:

AI and the Healthcare Industry
This technology is evidently the game changer in the healthcare industry. According to the reports by Frost & Sullivan, the AI market for healthcare is likely to experience a CAGR of 40% by 2021, and has the potential to change industry outcomes by 30-40%, while cutting treatment costs in half.

In the words of Satya Nadella, “AI is the runtime that is going to shape all of what we do going forward in terms of the applications as well as the platform advances”.

Here are a few ways Microsoft’s Healthcare Bot will shape the Healthcare Industry…

 

Also see:

  • Why AI will make healthcare personal — from weforum.org by Peter Schwartz
    Excerpt:
    Digital assistants to provide a 24/7 helping hand
    The digital assistants of the future will be full-time healthcare companions, able to monitor a patient’s condition, transmit results to healthcare providers, and arrange virtual and face-to-face appointments. They will help manage the frequency and dosage of medication, and provide reliable medical advice around the clock. They will remind doctors of patients’ details, ranging from previous illnesses to past drug reactions. And they will assist older people to access the care they need as they age, including hospice care, and help to mitigate the fear and loneliness many elderly people feel.

 

  • Introducing New Alexa Healthcare Skills — from developer.amazon.com by Rachel Jiang
    Excerpts:
    The new healthcare skills that launched today are:Express Scripts (a leading Pharmacy Services Organization)
    Cigna Health Today (by Cigna, the global health service company)
    My Children’s Enhanced Recovery After Surgery (ERAS) (by Boston Children’s Hospital, a leading children’s hospital)
    Swedish Health Connect (by Providence St. Joseph Health, a healthcare system with 51 hospitals across 7 states and 829 clinics)
    Atrium Health (a healthcare system with more than 40 hospitals and 900 care locations throughout North and South Carolina and Georgia)
    Livongo (a leading consumer digital health company that creates new and different experiences for people with chronic conditions)

Voice as the Next Frontier for Conveniently Accessing Healthcare Services

 

  • Got health care skills? Big Tech wants to hire you — from linkedin.com Jaimy Lee
    Excerpt:
    As tech giants like Amazon, Apple and Google place bigger and bigger bets on the U.S. health care system, it should come as no surprise that the rate at which they are hiring workers with health care skills is booming.We took a deep dive into the big tech companies on this year’s LinkedIn Top Companies list in the U.S., uncovering the most popular health care skills among their workers — and what that says about the future of health care in America.
 

10 predictions for the future of the IoT — from bbntimes.com by Ahmed Banafa

 

 

Also see:

  • How Artificial Intelligence will kickstart the Internet of Things — from bbntimes.com by Ahmed Banafa
    Excerpt:
    Examples of such IoT data: 

    • Data that helps cities predict accidents and crimes
    • Data that gives doctors real-time insight into information from pacemakers or biochips
    • Data that optimize productivity across industries through predictive maintenance on equipment and machinery
    • Data that creates truly smart homes with connected appliances
    • Data that provides critical communication between self-driving cars

 

 

Hot tech jobs for law grads — from The National Jurist by Angela Morris

Excerpts:

A law degree has always been a versatile tool, but as technology brings significant change to the legal field, new career options continue to emerge.

  • Privacy manager
  • Legal operations
  • Legal solutions architect
  • Legal engineer
  • Data analyst
  • Cybersecurity professional
  • Open-source code compliance
  • Project manager for technology companies
  • Compliance pro
  • Knowledge manager
  • Risk manager
  • Bioethicist
  • Technology transfer officer
  • Banking compliance officer
  • IP protection specialist in the fashion industry
  • Digital asset protection
  • Litigation support professional
  • eDiscovery consultant

 

Also see:

 

 

The growing marketplace for AI ethics — from forbes.com by Forbes Insights with Intel AI

Excerpt:

As companies have raced to adopt artificial intelligence (AI) systems at scale, they have also sped through, and sometimes spun out, in the ethical obstacle course AI often presents.

AI-powered loan and credit approval processes have been marred by unforeseen bias. Same with recruiting tools. Smart speakers have secretly turned on and recorded thousands of minutes of audio of their owners.

Unfortunately, there’s no industry-standard, best-practices handbook on AI ethics for companies to follow*—at least not yet. Some large companies, including Microsoft and Google, are developing their own internal ethical frameworks.

A number of think tanks, research organizations, and advocacy groups, meanwhile, have been developing a wide variety of ethical frameworks and guidelines for AI.

 

*Insert DSC:
Read this as a very powerful, chaotic, massive WILD, WILD, WEST.  Can law schools, legislatures, governments, businesses, and more keep up with this new pace of technological change?

 

Also see:

 

Artificial intelligence seeing massive surge in education — from campustechnology.com by David Nagel

Excerpt:

Education will experience the third-largest growth of any sector, coming in slightly behind government (44.3 percent) and “personal and consumer services” (43.3 percent).

The top use cases for AI at present, based on current market share, are:

  • Automated customer service agents (12.5 percent);
  • Sales process recommendation and automation (7.6 percent);
  • Automated threat intelligence and prevention systems (7.5 percent);
  • Program advisors and recommendation systems (6.4 percent); and
  • Automated preventative maintenance, diagnosis and treatment systems (6.2 percent).

 

 

Map of fundamental technologies in legal services — from remakinglawfirms.com by Michelle Mahoney

Excerpt:
The Map is designed to help make sense of the trends we are observing:

  • an increasing number of legal technology offerings;
  • the increasing effectiveness of legal technologies;
  • emerging new categories of legal technology;
  • the layering and combining of fundamental technology capabilities; and
  • the maturation of machine learning, natural language processing and deep learning artificial intelligence.

Given the exponential nature of the technologies, the Fundamental Technologies Map can only depict the landscape at the current point in time.

 

Information processing in legal services (PDF file)

 

Also see:
Delta Model Update: The Most Important Area of Lawyer Competency — Personal Effectiveness Skills — from legalexecutiveinstitute.comby Natalie Runyon

Excerpt:

Many legal experts say the legal industry is at an inflection point because the pace of change is being driven by many factors — technology, client demand, disaggregation of matter workflow, the rise of Millennials approaching mid-career status, and the faster pace of business in general.

The fact that technology spend by law firms continues to be a primary area of investment underscores the fact that the pace of change is continuing to accelerate with the ongoing rise of big data and workflow technology that are greatly influencing how lawyering gets done. Moreover, combined with big unstructured data, artificial intelligence (AI) is creating opportunities to analyze siloed data sets to gain insights in numerous new ways.

 

 

The state of AI in the enterprise: 10 telling stats — from enterprisersproject.com by Kevin Casey
How many of your peers already use AI? What are they spending? How’s the talent market? Let’s explore the data.

Excerpt:

80 percent of project management tasks done by AI by 2030: Gartner
There are other reminders that while AI may not necessarily put all of us out of our jobs, it will definitely change many jobs. Consider this new prediction from Gartner: 80 percent of project management tasks that would typically be handled by a person today will be eliminated by AI by 2030. This will span traditional PM functions such as data collection, tracking, and reporting, Gartner predicts.

 

 
 

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