FuturePod gathers voices from the international field of Futures and Foresight. Through a series of interviews, the founders of the field and emerging leaders share their stories, tools and experiences.

FuturePod gathers voices from the international field of Futures and Foresight. Through a series of podcast interviews, the founders of the field and emerging leaders share their stories, tools and experiences. The Futures and Foresight community comprises a remarkable and diverse group of individuals who span, academic, commercial and social interests.

 

Luke 1:30-33

Luke 1:30-33 New International Version (NIV) — from biblegateway.com

30 But the angel said to her, “Do not be afraid, Mary; you have found favor with God. 31 You will conceive and give birth to a son, and you are to call him Jesus. 32 He will be great and will be called the Son of the Most High. The Lord God will give him the throne of his father David, 33 and he will reign over Jacob’s descendants forever; his kingdom will never end.”

 

19 striking findings from 2019 — from pewresearch.org by John Gramlich

Excerpt:

Every year, Pew Research Center publishes hundreds of reports, blog posts, digital essays and other studies on a wide range of topics, from the demographic and political changes that are reshaping the United States to the attitudes and experiences of people in dozens of other countries. At the end of each year, we compile a list of some of our most noteworthy findings. Here are 19 striking findings from our research this year…


A majority of Americans do not think it is possible to go about daily life without corporate and government entities collecting information about them. Americans widely believe at least some of their online and offline activities are being tracked and monitored by companies and the government. It is such a common condition of modern life, in fact, that roughly six-in-ten U.S. adults say they don’t think it is possible to go through daily life without having data collected about them by companies (62% say this) or the government (63%).

Read the other posts in our striking findings series:

 

Greta Thunberg is the youngest TIME Person of the Year ever. Here’s how she made history — from time.com

Excerpt:

The politics of climate action are as entrenched and complex as the phenomenon itself, and Thunberg has no magic solution. But she has succeeded in creating a global attitudinal shift, transforming millions of vague, middle-of-the-night anxieties into a worldwide movement calling for urgent change. She has offered a moral clarion call to those who are willing to act, and hurled shame on those who are not. She has persuaded leaders, from mayors to Presidents, to make commitments where they had previously fumbled: after she spoke to Parliament and demonstrated with the British environmental group Extinction Rebellion, the U.K. passed a law requiring that the country eliminate its carbon footprint. She has focused the world’s attention on environmental injustices that young indigenous activists have been protesting for years. Because of her, hundreds of thousands of teenage “Gretas,” from Lebanon to Liberia, have skipped school to lead their peers in climate strikes around the world.

 

Young people! You CAN and will make a big impact/difference!

 

This A.I. pocket device translates languages in real-time — from bigthink.com
The ONE Mini is a Swiss Army knife of translation tech, interpreting 12 different foreign languages with a host of features.

 

Top artificial intelligence predictions for 2020 from IDC and Forrester — from forbes.com by Gil Press

Excerpts:

IDC and Forrester issued recently their predictions for artificial intelligence (AI) in 2020 and beyond. While external “market events” may make companies cautious about AI, says Forrester, “courageous ones” will continue to invest and expand the initial “timid” steps they took in 2019.

According to Forrester’s various surveys,

·      53% of global data and analytics decision makers say they have implemented, are in the process of implementing, or are expanding or upgrading their implementation of some form of artificial intelligence.

·      29% of global developers (manager level or higher) have worked on AI/machine learning (ML) software in the past year.

 

Think you could learn Mandarin? This Kansas kindergarten classroom is Chinese-only — from by Robert Smith

Excerpts:

In a Wolf Springs Elementary School classroom with “Chinese Only Zone” signs taped to the walls, kindergarteners are learning their core subjects in the primary language of a global economic superpower located across the world.

This language-immersion class of kindergarteners is part of a new Blue Valley School District initiative to graduate high school seniors fluent in a second language, an asset school officials believe will give students a leg up as they pursue academics and careers and prepare students to participate in a global workforce.

Chinese Mandarin, a group of dialects spoken by more than 800 million people, is a tonal language in which the meaning of words can be reflected by voice pitch. Though its grammar is similar to English, words or phrases are represented by Chinese characters.

Besides the usual educational stresses, parents who put their children in the program would need to be committed to the program. Because these kindergarteners are expected to remain together in a Mandarin-speaking classroom all the way through high school, new immersion students can only enter the program in kindergarten.

While other elementary-aged students spend roughly 60 minutes studying Spanish per week, this group of kindergartens spends half of their school time each day with Pan learning math, science and social studies in Mandarin. The groups studies reading and literacy with teacher Haley Watkins in English.

 

“In under a minute we filled all of the slots. That afternoon we had hundreds of people on the waiting list.”

 

From DSC:
Wow! This is quite the K-12 cohort/immersion! Add to that type of setup tools like Cisco Webex, Blackboard Collaborate, Adobe Connect, etc. — and not to mention what happens with virtual reality in the next decade — and this type of cohort/immersion will likely be highly effective over time.

So what will the future classrooms of the world look like? My guess is that with 5G and virtual reality on the way, there will be a lot more “connections” being made in the future…with many nations/classrooms being involved.

iStock-1154674846-purchased-11-21-19
[From my purchase of iStock #1154674846.]

 

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

 

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.

 

 

Discover legal tech by checking out techindex.law.stanford.edu

 

Per their website:

This database is built on a growing community of legal technology companies worldwide. Our Twitter stream gives you a real time glance of what the companies in our database are sharing.

 
 

Can you make AI fairer than a judge? Play our courtroom algorithm game — from technologyreview.com by Karen Hao and Jonathan Stray
Play our courtroom algorithm game The US criminal legal system uses predictive algorithms to try to make the judicial process less biased. But there’s a deeper problem.

Excerpt:

As a child, you develop a sense of what “fairness” means. It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t.

But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them—software engineers—are being asked to articulate what it means to be fair in their code. This is why regulators around the world are now grappling with a question: How can you mathematically quantify fairness? 

This story attempts to offer an answer. And to do so, we need your help. We’re going to walk through a real algorithm, one used to decide who gets sent to jail, and ask you to tweak its various parameters to make its outcomes more fair. (Don’t worry—this won’t involve looking at code!)

The algorithm we’re examining is known as COMPAS, and it’s one of several different “risk assessment” tools used in the US criminal legal system.

 

But whether algorithms should be used to arbitrate fairness in the first place is a complicated question. Machine-learning algorithms are trained on “data produced through histories of exclusion and discrimination,” writes Ruha Benjamin, an associate professor at Princeton University, in her book Race After Technology. Risk assessment tools are no different. The greater question about using them—or any algorithms used to rank people—is whether they reduce existing inequities or make them worse.

 

You can also see change in these articles as well:

 

 

Genesis 1:21 New International Version (NIV)

21 So God created the great creatures of the sea and every living thing with which the water teems and that moves about in it, according to their kinds, and every winged bird according to its kind. And God saw that it was good.

 

 

Incredible Pictures from Agora’s Contest

 

How augmented reality will overhaul our most crucial industries — from singularityhub.com by Peter Diamandis

Excerpts:

Healthcare
(1) Surgeons and physicians
(2) Assistance for those with disabilities
(3) Biometric displays

Retail & Advertising
(1) Virtual shopping
(2) Advertising

Education & Travel
(1) Customized, continuous learning

Within the classroom, Magic Leap One’s Lumin operating system allows multiple wearers to share in a digital experience, such as a dissection or historical map. And from a collaborative creation standpoint, students can use Magic Leap’s CAD application to join forces on 3D designs.

In success, AR’s convergence with biometric sensors and AI will give rise to an extraordinarily different education system: one comprised of delocalized, individually customizable, responsive, and accelerated learning environments.

(2) Training
(3) Travel

Manufacturing
(1) Design
(2) Supply chain optimization
(3) Quality assurance & accessible expertise

Transportation & Navigation
(1) Autonomous vehicles
(2) Navigation

Entertainment
(1) Gaming
(2) Art

 

Per Jane Hart on LinkedIn:

Top 200 Tools for Learning 2019 is now published, together with:

PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.

 

 

 
© 2024 | Daniel Christian