Microsoft President Warns of Orwell’s 1984 ‘Coming to Pass’ in 2024 — from interestingengineering.com by Chris Young
Microsoft’s Brad Smith warned we may be caught up in a losing race with artificial intelligence.
Excerpt (emphasis DSC):
The surveillance-state dystopia portrayed in George Orwell’s 1984 could “come to pass in 2024” if governments don’t do enough to protect the public against artificial intelligence (AI), Microsoft president Brad Smith warned in an interview for the BBC’s investigative documentary series Panorama.
During the interview, Smith warned of China’s increasing AI prowess and the fact that we may be caught up in a losing race with the technology itself.
“If we don’t enact the laws that will protect the public in the future, we are going to find the technology racing ahead, and it’s going to be very difficult to catch up,” Smith stated.
From DSC:
This is a major heads up to all those in the legal/legislative realm — especially the American Bar Association (ABA) and the Bar Associations across the country! The ABA needs to realize they have to up their game and get with the incredibly fast pace of the twenty-first century. If that doesn’t occur, we and future generations will pay the price. Two thoughts come to my mind in regards to the ABA and for the law schools out there:
Step 1: Allow 100% online-based JD programs all the time, from here on out.
Step 2: Encourage massive new program development within all law schools to help future lawyers, judges, legislative reps, & others build up more emerging technology expertise & the ramifications thereof.
Google’s plan to make search more sentient — from vox.com by Rebecca Heilweil
Google announces new search features every year, but this time feels different.
Excerpt:
At the keynote speech of its I/O developer conference on Tuesday, Google revealed a suite of ways the company is moving forward with artificial intelligence. These advancements show Google increasingly trying to build AI-powered tools that seem more sentient and that are better at perceiving how humans actually communicate and think. They seem powerful, too.
Two of the biggest AI announcements from Google involve natural language processing and search.
…
Google also revealed a number of AI-powered improvements to its Maps platform that are designed to yield more helpful results and directions.
Google’s plans to bring AI to education make its dominance in classrooms more alarming — from fastcompany.com by Ben Williamson
The tech giant has expressed an ambition to transform education with artificial intelligence, raising fresh ethical questions.
Struggling to Get a Job? Artificial Intelligence Could Be the Reason Why — from newsweek.com by Lydia Veljanovski; with thanks to Sam DeBrule for the resource
Excerpt:
Except that isn’t always the case. In many instances, instead of your application being tossed aside by a HR professional, it is actually artificial intelligence that is the barrier to entry. While this isn’t a problem in itself—AI can reduce workflow by rapidly filtering applicants—the issue is that within these systems lies the possibility of bias.
It is illegal in the U.S. for employers to discriminate against a job applicant because of their race, color, sex, religion, disability, national origin, age (40 or older) or genetic information. However, these AI hiring tools are often inadvertently doing just that, and there are no federal laws in the U.S. to stop this from happening.
These Indian edtech companies are shaping the future of AI & robotics — from analyticsinsight.net by Apoorva Komarraju May 25, 2021
Excerpt:
As edtech companies have taken a lead by digitizing education for the modern era, they have taken the stance to set up Atal Tinkering Labs in schools along with other services necessary for the budding ‘kidpreneurs’. With the availability of these services, students can experience 21st-century technologies like IoT, 3D printing, AI, and Robotics.
Researchers develop machine-learning model that accurately predicts diabetes, study says — from ctvnews.ca by Christy Somos
Excerpt:
TORONTO — Canadian researchers have developed a machine-learning model that accurately predicts diabetes in a population using routinely collected health data, a new study says.
The study, published in the JAMA Network Open journal, tested new machine-learning technology on routinely collected health data that examined the entire population of Ontario. The study was run by the ICES not-for-profit data research institute.
Using linked administrative health data from Ontario from 2006 to 2016, researchers created a validated algorithm by training the model on information taken from nearly 1.7 million patients.
Project Guideline: Enabling Those with Low Vision to Run Independently — from ai.googleblog.com by Xuan Yang; with thanks to Sam DeBrule for the resource
Excerpt:
For the 285 million people around the world living with blindness or low vision, exercising independently can be challenging. Earlier this year, we announced Project Guideline, an early-stage research project, developed in partnership with Guiding Eyes for the Blind, that uses machine learning to guide runners through a variety of environments that have been marked with a painted line. Using only a phone running Guideline technology and a pair of headphones, Guiding Eyes for the Blind CEO Thomas Panek was able to run independently for the first time in decades and complete an unassisted 5K in New York City’s Central Park.
Deepfake Maps Could Really Mess With Your Sense of the World — from wired.com by Will Knight
Researchers applied AI techniques to make portions of Seattle look more like Beijing. Such imagery could mislead governments or spread misinformation online.
2 Chronicles 10 (NIV) — from biblegateway.com (emphasis DSC)
Excerpt:
10 Rehoboam went to Shechem, for all Israel had gone there to make him king. 2 When Jeroboam son of Nebat heard this (he was in Egypt, where he had fled from King Solomon), he returned from Egypt. 3 So they sent for Jeroboam, and he and all Israel went to Rehoboam and said to him: 4 “Your father put a heavy yoke on us, but now lighten the harsh labor and the heavy yoke he put on us, and we will serve you.”
5 Rehoboam answered, “Come back to me in three days.” So the people went away.
6 Then King Rehoboam consulted the elders who had served his father Solomon during his lifetime. “How would you advise me to answer these people?” he asked.
7 They replied, “If you will be kind to these people and please them and give them a favorable answer, they will always be your servants.”
8 But Rehoboam rejected the advice the elders gave him and consulted the young men who had grown up with him and were serving him. 9 He asked them, “What is your advice? How should we answer these people who say to me, ‘Lighten the yoke your father put on us’?”
10 The young men who had grown up with him replied, “The people have said to you, ‘Your father put a heavy yoke on us, but make our yoke lighter.’ Now tell them, ‘My little finger is thicker than my father’s waist. 11 My father laid on you a heavy yoke; I will make it even heavier. My father scourged you with whips; I will scourge you with scorpions.’”
12 Three days later Jeroboam and all the people returned to Rehoboam, as the king had said, “Come back to me in three days.” 13 The king answered them harshly. Rejecting the advice of the elders, 14 he followed the advice of the young men and said, “My father made your yoke heavy; I will make it even heavier. My father scourged you with whips; I will scourge you with scorpions.”
From DSC:
The new, younger king didn’t listen to the older, more experienced people (i.e., the elders) who had worked with King Solomon (a king who reigned over a united Israel for 40 years…and a person whom the Bible says was the wisest king of all time). Instead the younger king sought the counsel of his younger peers and went with that advice. This led to Rehoboam’s downfall — at least in terms of keeping a strong, united Israel. He was only a king of a much smaller kingdom due to his decision and actions.
What might the youth of today learn from this? How might entrepreneurs learn from this? What might companies like Google, Facebook, and others learn from this? How might this impact how we go about developing the culture of a company? What’s valued and what’s not valued?
There are probably different lessons one can learn from 2 Chronicles Chapter 10. But here’s one example that comes to my mind…
21 jobs of the future: A guide to getting — and staying — employed over the next 10 years — from cognizant.com and the Center for The Future of Work
Excerpt:
WHAT THE NEXT 10 YEARS WILL BRING: NEW JOBS
In this report, we propose 21 new jobs that will emerge over the next 10 years and will become cornerstones of the future of work. In producing this report, we imagined hundreds of jobs that could emerge within the major macroeconomic, political, demographic, societal, cultural, business and technology trends observable today, e.g., growing populations, aging populations, populism, environmentalism, migration, automation, arbitrage, quantum physics, AI, biotechnology, space exploration, cybersecurity, virtual reality.
Among the jobs we considered, some seemed further out on the horizon and are not covered here: carbon farmers, 3-D printing engineers, avatar designers, cryptocurrency arbitrageurs, drone jockeys, human organ developers, teachers of English as a foreign language for robots, robot spa owners, algae farmers, autonomous fleet valets, Snapchat addiction therapists, urban vertical farmers and Hyperloop construction managers. These are jobs that younger generations may do in the further off future.
Also see:
Here are the top 10 jobs of the future — from bigthink.com by Robert Brown
Say hello to your new colleague, the Workplace Environment Architect.
Excerpt:
6. Algorithm Bias Auditor – “All online, all the time” lifestyles for work and leisure accelerated the competitive advantage derived from algorithms by digital firms everywhere. But from Brussels to Washington, given the increasing statutory scrutiny on data, it’s a near certainty that when it comes to how they’re built, verification through audits will help ensure the future workforce is also the fair workforce.
Per Elnaz Sarraf (She/Her), Chief Evangelist at ROYBI Robot:
ROYBI INC, the creator of the award-winning ROYBI Robot, announced today that it was named the winner of the World Economic Forum Smart Toy Awards 2021 in the category of Smart Companion. This is a remarkable achievement!
The category winner had to meet four important criteria:
According to the World Economic Forum representative, Seth Bergeson, our ROYBI Robot met and exceeded these important criteria. ROYBI’s award acceptance ceremony can be watched here.
Also see:
2021 EDUCAUSE Horizon Report® | Teaching and Learning Edition
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape.
Artificial intelligence and the future of national security — from news.asu.edu
Excerpt:
Artificial intelligence is a “world-altering” technology that represents “the most powerful tools in generations for expanding knowledge, increasing prosperity and enriching the human experience” and will be a source of enormous power for the companies and countries that harness them, according to the recently released Final Report of the National Security Commission on Artificial Intelligence.
This is not hyperbole or a fantastical version of AI’s potential impact. This is the assessment of a group of leading technologists and national security professionals charged with offering recommendations to Congress on how to ensure American leadership in AI for national security and defense. Concerningly, the group concluded that the U.S. is not currently prepared to defend American interests or compete in the era of AI.
Also see:
EU Set to Ban Surveillance, Start Fines Under New AI Rules — from bloomberg.com by Natalia Drozdiak
Excerpt:
The European Union is poised to ban artificial intelligence systems used for mass surveillance or for ranking social behavior, while companies developing AI could face fines as high as 4% of global revenue if they fail to comply with new rules governing the software applications.
Also see:
Wrongfully arrested man sues Detroit police over false facial recognition match — from washingtonpost.com by Drew Harwell
The case could fuel criticism of police investigators’ use of a controversial technology that has been shown to perform worse on people of color
Excerpts:
A Michigan man has sued Detroit police after he was wrongfully arrested and falsely identified as a shoplifting suspect by the department’s facial recognition software in one of the first lawsuits of its kind to call into question the controversial technology’s risk of throwing innocent people in jail.
Robert Williams, a 43-year-old father in the Detroit suburb of Farmington Hills, was arrested last year on charges he’d taken watches from a Shinola store after police investigators used a facial recognition search of the store’s surveillance-camera footage that identified him as the thief.
Prosecutors dropped the case less than two weeks later, arguing that officers had relied on insufficient evidence. Police Chief James Craig later apologized for what he called “shoddy” investigative work. Williams, who said he had been driving home from work when the 2018 theft had occurred, was interrogated by detectives and held in custody for 30 hours before his release.
Williams’s attorneys did not make him available for comment Tuesday. But Williams wrote in The Washington Post last year that the episode had left him deeply shaken, in part because his young daughters had watched him get handcuffed in his driveway and put into a police car after returning home from work.
“How does one explain to two little girls that a computer got it wrong, but the police listened to it anyway?” he wrote. “As any other black man would be, I had to consider what could happen if I asked too many questions or displayed my anger openly — even though I knew I had done nothing wrong.”
Addendum on 4/20/21:
AI in education: Features already adopted by companies, universities, and schools — from belitsoft.com by Dmitry Baraishuk
Excerpt:
AI use cases in education include such kinds of applications as: Artificial Intelligence in training, learning and development, AI in higher education and Artificial Intelligence in K-12 education. We’ve gathered and outlined real-life examples of AI in education for each of these three application areas. If you’re an L&D or HR pro, you will find insightful the section “AI in talent management and in Learning and development.” College and university leaders will discover helpful tools to significantly improve their educational process in the section “AI in Higher Education.” For school leaders, we’ve prepared the section “Artificial intelligence in K-12 education.”
Addendum on 4/23/21:
