Peter believes “we owe the next generation” what he calls “AI-powered education.” He explains how it can already work using the example of Khan Academy and the personal story of a young woman from Afghanistan named Sultana. It’s a great story!

Alongside healthcare, I can’t think of another field more in need of reinvention than education. Some teachers and schools have come out saying that using generative AI tools is a form of cheating, and others have banned them altogether. But as Stability AI CEO Emad Mostaque notes:

“Education isn’t about competition. We made it a competition. It’s about actuation.”

An alternative vision of education powered by AI is about the learning process becoming more personalized and effective.

Revolutionizing How We Learn

Imagine a future where every student has their own personalized AI that is customized for them and looks out for them. Are you a visual learner? Do you learn best through listening? Are you dyslexic?

Imagine an AI that uses an iPad’s forward-looking camera to study a student’s facial expressions as a lesson is being delivered. If the student looks confused or bored, the AI can change tack, adjusting the lesson accordingly from a different point of view, or at a different level of complexity.

Imagine a future where a teacher’s AI assistant adapts to each student’s learning style and pace, offering personalized education, and incorporating a student’s favourite sports stars or movie stars into the curriculum. It can track a given student’s progress, identify trouble areas, and optimize on the fly.

Beyond AI alone, the combination of AI and VR together promises to make learning “experiential” and “immersive,” delivering lessons that are unforgettable and hyper-personalized.

I remember as a child going to Greek School to learn about my heritage, and then at MIT taking a course on ancient cultures covering Socrates, Plato, and Aristotle. Whatever way you cut it, reading historical textbooks about philosophy is difficult at best. Imagine instead, entering an interactive VR world set in ancient Greece, surrounded by a vibrant Agora, encircled by bustling crowds, lively debates, and the grand architecture of a flourishing city-state at the pinnacle of its cultural and intellectual achievements.

As you traverse the cobblestone pathways, an arresting figure captures your attention. Seated on a marble plinth, an elderly man exudes an air of wisdom. His physique is draped in the unadorned elegance of a white toga, a white beard frames his gaze. With a graceful rise, he beckons you forward and extends his hand. “Greetings, traveller,” he proclaims with a genial smile, “I am Socrates, your guide here in Athens. May I show you around and answer your questions?” Embracing his invitation, you find yourself wandering alongside the philosopher, meandering through the vibrant streets. As you walk, Socrates, with a storyteller’s flair, illustrates the daily routines of Athenian life, while recounting local politics and recent history. He guides you towards the Acropolis that rises like a crown above the city and introduces you to his many friends and pupils as you walk.

The generative AI imagery and experience are so immersive and compelling that you forget you’re in VR. It feels more like a real-life experience. Perhaps most importantly, everything this AI version of Socrates says and does is driven by a fully validated large language model (LLM) built upon historical consensus.

In this fashion, AI in partnership with VR will allow us to experience the greatest moments in human history ranging from the signing of the Declaration of Independence alongside Thomas Jefferson and John Adams to walking on the surface of the Moon with Neil Armstrong and Buzz Aldrin.

Sultana’s Story

When I think about digitizing, dematerializing, demonetizing, and democratizing education, one of the most impactful stories I’ve ever heard was told to me by Sal Khan, Founder and CEO of Khan Academy.

Sometimes a single individual’s story can best exemplify the power of a new technology to transform a field. This is one such story about a young girl in Afghanistan named Sultana who used Khan Academy to educate herself and change the course of her life. Sultana grew up in Afghanistan, and when the Taliban took over her town, they forbade all the young girls from going to school. Khan Academy became her lifeline. She studied everything from elementary school math to algebra and trigonometry, eventually moving on to physics, chemistry, and other subjects. Without access to school or teachers, she used Khan Academy’s free online lessons and courses, all from the safety of her home.

Here’s how Sultana later described the experience in a 2021 article in The Economist:

“Armed with an iPad, the internet and a free education website called Khan Academy, I taught myself English. And philosophy. And math. And science. And history. I wanted to understand the world in every way possible, and my place in it. Solving math problems gave structure to the uncertain world I was living in, even if just in my head. I felt liberated when I first learned to make a graph of a linear equation. On the page, drawing a two-dimensional coordinate plane and graphing an equation, the world was in my control.”

Sultana then decided that she wanted to be a theoretical physicist in the United States. So, she smuggled herself into Pakistan to take the SAT because the test wasn’t offered in Afghanistan. She passed. Soon after, she was admitted to Arizona State University, graduating with honours!

Where’s Sultana now? She’s currently a member of the research faculty at Tufts University studying quantum computing.

Since Sultana’s success, the Khan Academy has super-charged its platform using generative AI powered by GPT-4 from OpenAI. The new product is called Khanmigo, an AI-powered teaching assistant, that can amplify the power to educate and ultimately help humanity enable many more Sultanas in our future.

Announced in March 2023, Khanmigo adopts an AI-powered Socratic, narrative-driven approach to engage students. It promises to make learning easier and more efficient, functioning as a personal tutor that engages students interactively, assisting with meaningful exercises, diagnosing mistakes and encouraging understanding over memorization.

Khanmigo is designed to understand students’ reasoning, a departure from traditional rote methods of learning. It contextualizes learning to a student’s interest, asking probing questions to reveal practical applications of academic concepts.

Khanmigo’s integration into the educational process is showcased through interactive features such as reading comprehension aids, AI memory for ongoing interactions, and narrative progress reports. Future updates will soon include voice interaction and multi-user activities.

Khanmigo is not a replacement for human teachers. Instead, it serves as an assistant to educators, allowing them to focus on fostering critical human skills such as judgment and creativity. It also provides recorded AI conversations for review, while supporting grading, lesson planning, and providing personalized guidance, aiming to reduce teacher workload.

Why This Matters

Given how fast everything is changing, we need to keep the world from revolting at the rate of disruption. This means giving people access to high-quality education and helping them believe that they have a future that is compelling and abundant. AI in education creates a compelling way to teach and learn, independent of where you live and how wealthy you are. If that’s not democratization in learning, what is?

Peter Diamandis has his take on how AI will positively disrupt medical practice. Peter is both a medical doctor and an engineer. He is convinced that AI is the answer to much of what is currently wrong in the state of medicine.

He writes that doctors today are overworked and drowning in data. He quotes data from a 2017 report that stated 30% of physicians spent between 17 and 24 minutes with a patient, and that 29% spent less time, between 13 and 16 minutes per patient. So the majority of patients who wait an average of 26 days to see their family doctor, end up with a face-to-face visit between 13 and 24 minutes.

Why? One of the reasons is the fallout from COVID-19 which has witnessed since 2020 a large number of doctors, particularly general practitioners, retiring. In 2021, 20% of healthcare workers resigned with 117,000 physicians in the United States leaving. That same year only 40,000 got their medical license.

Another reason for physicians drowning in data is the sheer volume of medical information being published today. It is a wonder that doctors can keep up with the 28,000 peer-reviewed medical journals that publish more than 1.8 million articles per year, or roughly 5,000 new papers every day.

Then there is the paperwork and patient record keeping. Patient diagnostic testing results, consult reports, patient visit notes, prescriptions, phone calls to referring specialists, and more fill a doctor’s daily workload. The billing and other administrative tasks of a medical practice add even more to this.

As a patient, you have to ask, can my family physician keep up-to-date in the face of this incoming and outgoing information overload?

Medical AI: a Co-Pilot or a Threat

Should doctors feel threatened by the arrival of AI in their profession? Some may feel that their expertise is not to be trifled with. AI algorithms, some believe, are committing systematic theft on a mass scale using physicians’ online records in the large datasets that AIs use for training.

Others, however, welcome AI for its enhanced capability, speed, consistency, and accuracy in diagnoses. AI algorithms can consume images, test results, case notes and more and do it with blinding speed. An AI can train on hundreds of thousands if not millions of cases. A physician, even a specialist, will only have knowledge and exposure to a fraction of that number.

AIs see subtle patterns that humans miss. AIs can think outside the box and make associated links among data that indicate a disease may be starting. A physician may never see the links at all.

Some physicians fear that dependence on medical AIs will decrease the knowledge possessed by doctors and other health professionals and that the AI black box will take over. A Viewpoint article on the JAMA Network last month entitled “AI’s Threat to the Medical Profession,” notes that fear:

“Most of today’s knowledge on disease mechanisms will be forgotten and we will be ruled by systems that only focus on intervention strategies that will provide the best possible outcome. This era will show a decrease in intellectual debates among colleagues.”

Medical AI Empowers Physicians and Patients

Peter Diamandis argues that knowledge, nor methodologies, will not be forgotten when a medical AI starts working with a general practitioner or specialist. He states the transformation to a partnership between physician and AI co-pilot is to be celebrated and not feared.

Along with the arrival of the Internet-of-Things (IoT) and the proliferation of smart connected sensors and medical devices, medicine is entering a transformative moment with the patient being a partner in achieving healthy outcomes.

I’ll give you an example. When COVID-19 infected my heart I developed arrhythmias (rhythm disturbances) that in my case were considered life-threatening. I bought a Kardiamobile, a device that I could use at home to test my heart. Whether I felt a change or not, the use of this device once a day gave me a 30-second electrocardiogram that I could share with my doctor. I didn’t need an appointment or a lab requisition for me to know my heart’s status, and for my doctor to be kept informed.

The arrival of medical AI and this sensory revolution of medical devices means that wait time issues will no longer be all that relevant. Instead, medical AIs will continually monitor the sensors a patient has on hand and the data produced to assist a doctor without being intrusive.

Peter writes:

“Rather than waiting a month to book your annual medical checkup, sensors on your body, in your body, and your environment (bedroom, bathroom, office, and car) will be constantly monitoring your physiology and uploading data to your medical AI.”

Continuous monitoring will catch diseases at their earliest stages, allow for rapid intervention, and forego medical appointments, hospital visits, or prolonged hospital stays.

Medical AIs will fill the gap created by retired and missing healthcare workers. It will give physicians the means to provide continuous healthcare without being overwhelmed.

How would they respond? what information would they glean from their training datasets and Internet sources in responding? LLM AIs are trained using enormous datasets of text. They use neural network deep learning AI technologies to analyze and predict sequences of words obtained from these datasets. Human programmers influence word relationship sequences when they create AI algorithms. That’s because different programmers, themselves, have biases, or may have different levels of language facility, and may see word relationships differently.

For AIs understanding the multiple meanings of the same word or the same spellings of words that have different meanings in context presents a challenge. In other words, it’s complicated to resolve and parse the ambiguities of human language.

How does the AI understand the intention of the writer’s words versus what the writer wrote? Are there hidden meanings? Are there emotional contexts to consider?

It is far more than just predicting what word follows another, and how AIs do this remains somewhat of a mystery to their creators.

Just how complex are LLM AIs?

When Generative Pre-trained Transformer 3 or GPT-3 was launched in the spring of 2020, its LLM featured 175 billion parameters for learning patterns and relationships within language.

When its successor GPT-4 was introduced in March 2023, it featured 1.76 trillion parameters, ten times the size of its predecessor. Such is the pace of AI’s evolution.

Knowing this, I had to see how three of the latest LLM AIs handle a geopolitical question. I chose the current war between Russia and Ukraine. I didn’t give the LLM AIs anything more than the question posed at the beginning of this article.

These are the results from Copilot, Gemini and Monica.

Copilot

He cites three AI milestones that occurred in 2022 and 2023:

1. In early 2023, OpenAI’s ChatGPT passed Google’s exam for high-level software developers.
2. Later in 2023, GitHub reported that 46% of code across all programming languages is built using Copilot, the company’s AI-powered developer tool.
3. In its 2022 debut, DeepMind’s AlphaCode outperformed human programmers in a competition hosted by Codeforces. It took on 5,000 human expert coders and beat 45% of them.

All these developments happened coincidentally with the release of Open AI’s ChatGPT. Imagine then what is likely to happen in the next two or three years. Will AI eliminate the need for human programmers? Or, rather than eliminate coders in using AI-based tools, become software coders? Have large-language modelling AIs permanently changed the world of software? I’ll let Peter explain.

The Democratization of Software Coding

In a future where generative AI does coding, anyone can express what they want in natural language which then an AI will convert into code. NVIDIA’s CEO Jensen Huang noted in a recent call: “We’ve democratized computer programming for everyone … who could explain in human language a particular task to be performed.” Eliminating barriers that once blocked creativity means anyone can build systems that solve problems and create value for society.

These are called “no-code” and “low-code” platforms that empower individuals with little to no programming skills to develop new applications. No-code platforms have user-friendly interfaces, and facilitate rapid application development for those with domain-specific understanding to solve a business problem but who have no or limited coding skills. IT professionals are taking to low-code platforms requiring a rudimentary understanding of coding but offering higher degrees of customization and integration. “Citizen developers” are taking to no-code platforms.

In this new environment, does it still make sense to learn how to code? Should your kids continue to learn Python or another programming language? While your first reaction may be to say “No,” Steve Brown, my Chief AI Officer, has a different opinion:

“Coding is not about a particular computer language or even about writing programs per se. It’s about cultivating a mindset of computational thinking: enhancing your ability to break down complex problems into manageable components, devising logical solutions, and thinking critically.”

This skill will become increasingly important.

While it is true that AI has enabled machines to speak English, if you want to collaborate with AI and harness its power, learning the native language of AI will give you a distinct advantage. It’s how you will go from being a naive end-user to becoming a creative partner, problem solver, and critical thinker.

 The Rise of Hybrid Coders

Technology has always allowed individuals to do more, faster. Robotic farm equipment has increased the output of farmhands 1,000-fold, while computers have empowered investors, scientists, and digital artists by orders of magnitude. Now AI, in a somewhat recursive manner, is enabling our best programmers to amplify their skills and programming prowess 100-fold.

AI-enabled programming is a superpower for both the novice and the experienced coder. AI tools such as Replit and GitHub Copilot are helping developers automate redundant workflows, learn faster, write code faster and with fewer bugs, work more efficiently, and scale their productivity.

For example, researchers at Microsoft have found that software developers using AI assistants complete tasks 55% faster than those not using them. An MIT study shows that the top 5% of programmers performed orders of magnitude better while partnering with AI.

Hybrid Coding is Happening Now

The best coders soon or already are hybrids: humans working with AI assistants. This development is democratizing humanity’s ability to code and magnifying the abilities of the best coders 100-fold. We are super-charging our future.

At the same time, AI is learning how to code by itself and improve its performance and capabilities. Without question, the rate of technological advancement is accelerating. While this may scare many, it is important to recognize that these improved tools will enable entrepreneurs to address and defeat many of humanity’s grand challenges. These tools are enabling individuals and small teams to take on challenges previously only addressable by governments or large corporations. That’s why I stated previously that we are through a marriage of humans and AI democratizing our ability to solve the biggest problems.

Smart Wearables and AI

In surveying smart wearables, four different types come to mind where integrated AI could prove advantageous. They are:

1. Smartwatches: My wife wears a Samsung watch. It tracks her heart rate, and level of activity during the day, provides phone, text, and email notifications, and tells her when she has been sitting too long. It isn’t as smart as it can be so adding AI might stop it from telling her to get up and move when we are on a long car drive. Smartwatches do electrocardiograms, blood pressure and other vital signs. They can tell if a person has fallen or needs help. It can summon emergency responders and provide precise location information. With AI the watch will understand and respond to voice commands, prioritize incoming messages, provide voice and screen reminders, and tailor its responses to wearer preferences.
2. Fitness trackers: I have a FitBit but I don’t wear it anymore. The FitBit was one of the first branded fitness trackers. Today, it is part of Google with features incorporated into Google’s smartwatches. Fitness trackers were invented to track the physical activity of wearers. The most common application was counting steps. Today, they are far more sophisticated having evolved into personal wellness devices. Adding AI to trackers will make them even more personal. They will not just track but suggest exercises and even provide video examples for the wearer to watch. AI fitness trackers will expand the wearer’s exercise regime based on measured progress. The tracker will recommend changes to diet and other personal habits to achieve better health. It will detect subtle changes in health that could lead to serious complications, alert the wearer, and even summon help if the wearer is in crisis.
3. Smart glasses: Remember Google Glass. It was the first augmented reality device that looked more like glasses and less like the swim-mask models used for virtual reality gaming experiences. Smart glasses are worn like normal glasses. What is added are built-in cameras, sensors, processors and wireless connectivity. Smart glasses see what a wearer sees and overlay sensed digitized information from surroundings placing it in the visual field. Adding AI to smart glasses makes augmented reality more powerful. Wearers will be able to ask the glasses questions about what is being viewed. The glasses will translate foreign language signs and instructions and even recognize in context what needs to be done to fill out a form or application. Smart glasses may even help you assemble IKEA furniture. They will help wearers to navigate through buildings or find the right path to a destination. AI smart glasses will be a combination of navigator, tour guide, record keeper, and advisor. For people who suffer from vision-limiting conditions or who are blind, smart glasses with AI will be a life changer.
4. Smart clothing: Today one can buy clothing with incorporated sensors. The sensors can measure the temperature and humidity in the surroundings and adjust to make the wearer more comfortable. Smart clothing like smartwatches and fitness trackers can monitor activity and vital signs. But add AI and a whole new world opens up. Now the clothing can adapt to the movement patterns of the wearer, alter appearance to complement other items being worn and incorporate fall detection, location tracking, and emergency alerts. The clothing can even respond to touch, voice commands, or gestures.

Where AI Smart Wearables Will Be Used

Peter Diamandis, whose shared e-mail blasts appear on this blog site occasionally, has described the potential for AI-added smart wearables to impact work. He sees the following fields as the ones most likely to be early adopters.

Healthcare wearable AI will continuously monitor vital signs, be used for early disease detection, and help in the administration of personalized treatment plans.

Education wearable AI will provide students and teachers with real-time feedback, personalized learning experiences and instantaneous language translation.

Sports wearable AI will do the same as in education orivu in terms of instantaneous feedback, and assist in tracking exercise and fitness programs.

Military wearable AI will track and provide instant feedback during training exercises and on the battlefield, acting as an extra set of eyes to identify where enemy weaknesses exist, whether in training exercises or on battlefields.

Asimov divined three laws of robotics and made the conflicts within them a feature in novels and short stories. The Three Laws go beyond our physical concept of robotics to delve into the relationships that should govern artificial intelligence (AI) in interacting with humanity.

The three laws are as follows:

1. A robot may not injure a human being or, through inaction, allow a human being to come to harm. This is the foundation of robotic ethics and emphasizes human safety as a primary directive. Robots and thus AI must prioritize humanity’s well-being above all else and take necessary actions to prevent harm or injury to us.
2. A robot must obey the orders given to it by human beings, except where such orders would conflict with the first law. This establishes the principle of obedience to human authority. Robots or AI are to follow human instructions as long as they do not violate the first law. In the case of a conflict between the first and second law, the former would take precedence.
3. A robot must protect its existence as long this protection doesn’t conflict with the first and second laws. This gives a robot or AI the right of self-preservation as long as it doesn’t compromise human safety or disobey human orders.

Our world today has recently become awash with AI. We have Large Language Models training on global datasets. We have neural networks that mimic a human brain. We have machine learning algorithms that can help separate patients with cancer from those without and do it better than humans.

The AI makers may not be paying attention to Asimov’s three laws as they rush to build the latest and greatest technology to release to the public. From where you come often determines what kind of AI you develop. Although the creators of AI try to instill human values in their programs, biases based on cultural differences lead to different outcomes, which makes Asimov’s three laws barely a starting point in creating rules for AI.

Ina Fried publishes an online blog Axios AI+. She writes: “There’s no such thing as an AI system without values.” She states that AI creators don’t give birth to algorithms in a vacuum. They train, tune and deploy AIs by choosing data and values they respect.

An AI’s worldview is coloured by its creators. This starts with the algorithms and then follows in the selection of the data used for training. The final step “aligns” the AI to make it “safer” as it is tested to see what answers it produces. These answers are then rated as “more or less desirable.” 

When I look at Asimov’s first law and note how the issue of abortion is dividing Americans, I wonder how an AI created by someone who is anti-abortion would differ from one developed by a person who is pro-choice. How would the algorithms differ? How would the training dataset differ? If human safety is the AI’s prime directive, then how would it deal with a woman seeking to abort a fetus?

Asimov’s Revised Five Laws of Robotics

When Asimov attempted to create extensions to his three laws, he didn’t define what is a “human.” The revised five read as follows:

1. Robots should not be designed solely or primarily to kill or harm humans.
2. Humans, not robots, are responsible agents. Robots are tools designed to achieve human goals.
3. Robots should be designed in ways that assure their safety and security.
4. Robots are artifacts; they should not be designed to exploit vulnerable users by evoking an emotional response or dependency. It should always be possible to tell a robot from a human.
5. It should always be possible to find out who is legally responsible for a robot.

That lack of definition for “human” is a serious oversight when you consider history. Hitler considered Jews to be sub-human, “Untermenschen.” A Nazi AI creator could imbue values into it that would not include Jews in a definition of human.

The same would be true for an AI created by someone who is racist or sexist and doesn’t define humans as including people of a different skin colour, or people of a different sex or sexual orientation.

That is why a common set of AI rules is needed. As new AIs come from people whose biases make Asimov’s original and revised laws untenable, we need a global rule set for this emerging technology. The AIs we are producing today could theoretically violate human rights based simply on lacking a common definition of what is “human.”

A British Bishop’s Rewrite of Asimov’s Laws

Back in 2018, I wrote about the work of Steven Croft, the Bishop of Oxford in the United Kingdom. Croft who was in the British House of Lords, (clergy get representation there) proposed a rethinking of Asimov’s laws. He created 10 commandments for robots and AI to follow. I republish them here as a good reference point for all AI creators and governments to consider:

1. AI should be designed for all, and benefit humanity.
2. AI should operate on principles of transparency and fairness, and be well signposted [signposting refers to road signs and the directions they provide].
3. AI should not be used to transgress the data rights and privacy of individuals, families, or communities.
4. The application of AI should be to reduce inequality of wealth, health, and opportunity.
5. AI should not be used for criminal intent, nor to subvert the values of our democracy, truth, or courtesy in public discourse.
6. The primary purpose of AI should be to enhance and augment, rather than replace, human labour and creativity.
7. All citizens have the right to be adequately educated to flourish mentally, emotionally, and economically in a digital and artificially intelligent world.
8. AI should never be developed or deployed separately from consideration of the ethical consequences of its applications.
9. The autonomous power to hurt or destroy should never be vested in AI.
10. Governments should ensure that the best research and application of AI is directed toward the most urgent problems facing humanity.

1. You get a Facebook, Instagram, X, or WhatsApp message from a friend stating his or her wallet and identification were lost or stolen while on a trip. That means no passport, money, credit cards, airline tickets, and an outstanding hotel bill to settle. The friend asks you to wire money.
2. You get a telephone call, text message, or email from a business you deal with where you have an account claiming suspicious activity has been detected. You are asked to call a number or click on a link.
3. You have a package being held at the post office, or at customs claiming there is contraband or suspicious material within it. You are asked to call back and provide personal information.
4. You get an emergency call from a family member. They have been in an accident or been arrested. The family member puts another person on the line to advise you on what to do.
5. You get a customer support call about detected viruses or malware on your computer and the person asks you to turn it on and give them access to remove it.
6. You get a call from a government agency like the IRS in the U.S., or CRA in Canada. You or your partner owe unpaid taxes. The caller asks for personal financial information.

I don’t know if I have exhausted the list but I have received all of these scam, phishing and attempted fraud enquiries in the past forty years.

The one I remember most was a caller who identified himself as an agent of Revenue Canada claiming my wife’s tax filing was incorrect. She owed the government $1,200 in unpaid taxes. I was asked to share information from her latest tax return. I asked the agent to tell me my wife’s full name and current address. He got the name right (which was disturbing) but the address wrong. I told the caller his information was incorrect. He said he would review the file and get back to me. Of course, he never did.

Scams and Artificial Intelligence (AI)

Everything I previously have described about illegal activity by online fraudsters and scammers will receive more than just a fresh coat of paint when scammers harness the power of AI to their fraudulent schemes.

How will you trust that the person speaking to you on the phone is a relative in trouble or a cloned voice? The family emergency scam takes on a whole new meaning. Not only can the scammer do a voice clone, but they may even capture the mannerisms and speech patterns of a family member from a YouTube, Snapchat, or TikTok video and use it to fool you.

How will you know that a text or email message received is not AI-generated fakery? How will you know that you are talking to a real person or will it be a chatbot impersonating a customer representative from your bank, or the tax department? When the chatbot asks for personal information like date of birth, and social insurance (social security) number to verify your identity, you will have opened yourself to having not just money stolen, but your identity as well.

Protecting You From AI Scammers

Here are 8 general rules to combat scammers whether they are a person or an AI:

1. Don’t engage in conversations with strangers online or on the telephone.
2. Don’t post personal information about you or family members on any social media site if this is information that you feel could compromise you in the future.
3. If you get an unsolicited message whether by phone, text, email, or social media site, proceed with caution.
4. If a family member calls in distress, ask for a callback number. Before calling it, call the person’s home or mobile phone. They may be sitting at home reading a book.
5. Don’t share any security information. Don’t share any financial information. Don’t share any passwords. In other words, don’t share anything that can be copied or cloned unless you know with whom you are speaking or interacting online.
6. Businesses today use multifactor authentication to protect themselves. You should too when accessing your online applications and sites.
7. A single-sign-on tool that auto-generates passwords is a better way to secure your online presence so that you don’t end up using the same password repeatedly for logins.
8. Keep the security on all your devices up to date.