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Are you skeptical about mainstream artificial intelligence? Or are you all in on AI and use it all day, every day?
The emergence of AI in daily life is streamlining workdays, homework assignments, and for some, personal correspondences. To live in a time where we can access this amazing technology from the smartphones in our pockets is a privilege; however, overusing AI or using it irresponsibly could cause a chain reaction that not only affects you but your close circle and society beyond.
Here are four tips to help you navigate and use AI responsibly.
Artificial intelligence certainly earns the “intelligence” part of its name, but that doesn’t mean it never makes mistakes. Make sure to proofread or review everything AI creates, be it written, visual, or audio content.
For instance, if you’re seeking a realistic image or video, AI often adds extra fingers and distorts faces. Some of its creations can be downright nightmarish! Also, there’s a phenomenon known as an AI hallucination. This occurs when the AI doesn’t admit that it doesn’t know the answer to your question. Instead, it makes up information that is untrue and even fabricates fake sources to back up its claims.
One AI hallucination landed a lawyer in big trouble in New York. The lawyer used ChatGPT to write a brief, but he didn’t double check the AI’s work. It turns out the majority of the brief was incorrect.1
Whether you’re a blogger with thousands of readers or you ask AI to write a little blurb to share amongst your friends or coworkers, it is imperative to edit everything that an AI tool generates. Not doing so could start a rumor based on a completely false claim.
If you use AI to do more than gather a few rough ideas, you should cite the tool you used as a source. Passing off an AI’s work as your own could be considered cheating in the eyes of teachers, bosses, or critics.
There’s a lot of debate about whether AI has a place in the art world. One artist entered an image to a photography contest that he secretly created with AI. When his submission won the contest, the photographer revealed AI’s role in the image and gave up his prize. The photographer intentionally kept AI out of the conversation to prove a point, but imagine if he kept the image’s origin to himself.2 Would that be fair? When other photographers had to wait for the perfect angle of sunlight or catch a fleeting moment in time, should an AI-generated image with manufactured lighting and static subjects be judged the same way?
Even if you don’t personally use AI, you’re still likely to encounter it daily, whether you realize it or not. AI-generated content is popular on social media, like the deepfake video game battles between politicians.3 (A deepfake is a manipulation of a photo, video, or audio clip that depicts something that never happened.) The absurdity of this video series is likely to tip off the viewer to its playful intent, though it’s best practice to add a disclaimer to any deepfake.
Some deepfake have a malicious intent on top of looking and sounding very realistic. Especially around election time, fake news reports are likely to swirl and discredit the candidates. A great rule of thumb is: If it seems too fantastical to be true, it likely isn’t. Sometimes all it takes is five minutes to guarantee the authenticity of a social media post, photo, video, or news report. Think critically about the authenticity of the report before sharing. Fake news reports spread quickly, and many are incendiary in nature.
According to “McAfee’s Modern Love Research Report,” 26% of respondents said they would use AI to write a love note; however, 49% of people said that they’d feel hurt if their partner tasked a machine with writing a love note instead of writing one with their own human heart and soul.
Today’s AI is not sentient. That means that even if the final output moved you to tears or to laugh out loud, the AI itself doesn’t truly understand the emotions behind what it creates. It’s simply using patterns to craft a reply to your prompt. Hiding or funneling your true feelings into a computer program could result in a shaky and secretive relationship.
Plus, if everyone relied upon AI content generation tools like ChatGPT, Bard, and Copy.ai, then how can we trust any genuine display of emotion? What would the future of novels, poetry, and even Hollywood look like?
Responsible AI is a term that governs the responsibilities programmers have to society to ensure they populate AI systems with bias-free and accurate data. OpenAI (the organization behind ChatGPT and DALL-E) vows to act in “the best interests of humanity.”4 From there, the everyday people who interact with AI must similarly act in the best interests of themselves and those around them to avoid unleashing the dangers of AI upon society.
The capabilities of AI are vast, and the technology is getting more sophisticated by the day. To ensure that the human voice and creative spirit doesn’t permanently take on a robotic feel, it’s best to use AI in moderation and be open with others about how you use it.
To give you additional peace of mind, McAfee+ can restore your online privacy and identity should you fall into an AI-assisted scam. With identity restoration experts and up to $2 million in identity theft coverage, you can feel better about navigating this new dimension in the online world.
1The New York Times, “Here’s What Happens When Your Lawyer Uses ChatGPT”
2ARTnews, “Artist Wins Photography Contest After Submitting AI-Generated Image, Then Forfeits Prize”
3Business Insider, “AI-generated audio of Joe Biden and Donald Trump trashtalking while gaming is taking over TikTok”
4OpenAI, “OpenAI Charter”
The post Four Ways To Use AI Responsibly appeared first on McAfee Blog.
Artificial intelligence used to be reserved for the population’s most brilliant scientists and isolated in the world’s top laboratories. Now, AI is available to anyone with an internet connection. Tools like ChatGPT, Voice.ai, DALL-E, and others have brought AI into daily life, but sometimes the terms used to describe their capabilities and inner workings are anything but mainstream.
Here are 10 common terms you’ll likely to hear in the same sentence as your favorite AI tool, on the nightly news, or by the water cooler. Keep this AI dictionary handy to stay informed about this popular (and sometimes controversial) topic.
AI-generated content is any piece of written, audio, or visual media that was created partially or completely by an artificial intelligence-powered tool.
If someone uses AI to create something, it doesn’t automatically mean they cheated or irresponsibly cut corners. AI is often a great place to start when creating outlines, compiling thought-starters, or seeking a new way of looking at a problem.
When your question stumps an AI, it doesn’t always admit that it doesn’t know the answer. So, instead of not giving an answer, it’ll make one up that it thinks you want to hear. This made-up answer is known as an AI hallucination.
One real-world case of a costly AI hallucination occurred in New York where a lawyer used ChatGPT to write a brief. The brief seemed complete and cited its sources, but it turns out that none of the sources existed.1 It was all a figment of the AI’s “imagination.”
To understand the term black box, imagine the AI as a system of cogs, pulleys, and conveyer belts housed within a box. In a see-through box, you can see how the input is transformed into the final product; however, some AI are referred to as a black box. That means you don’t know how the AI arrived at its conclusions. The AI completely hides its reasoning process. A black box can be a problem if you’d like to doublecheck the AI’s work.
Deepfake is the manipulation of a photo, video, or audio clip to portray events that never happened. Often used for humorous social media skits and viral posts, unsavory characters are also leveraging deepfake to spread fake news reports or scam people.
For example, people are inserting politicians into unflattering poses and photo backgrounds. Sometimes the deepfake is intended to get a laugh, but other times the deepfake creator intends to spark rumors that could lead to dissent or tarnish the reputation of the photo subject. One tip to spot a deepfake image is to look at the hands and faces of people in the background. Deepfakes often add or subtract fingers or distort facial expressions.
AI-assisted audio impersonations – which are considered deepfakes – are also rising in believability. According to McAfee’s “Beware the Artificial Imposter” report, 25% of respondents globally said that a voice scam happened either to themselves or to someone they know. Seventy-seven percent of people who were targeted by a voice scam lost money as a result.
The closer an AI’s thinking process is to the human brain, the more accurate the AI is likely to be. Deep learning involves training an AI to reason and recall information like a human, meaning that the machine can identify patterns and make predictions.
Explainable AI – or white box – is the opposite of black box AI. An explainable AI model always shows its work and how it arrived at its conclusion. Explainable AI can boost your confidence in the final output because you can doublecheck what went into the answer.
Generative AI is the type of artificial intelligence that powers many of today’s mainstream AI tools, like ChatGPT, Bard, and Craiyon. Like a sponge, generative AI soaks up huge amounts of data and recalls it to inform every answer it creates.
Machine learning is integral to AI, because it lets the AI learn and continually improve. Without explicit instructions to do so, machine learning within AI allows the AI to get smarter the more it’s used.
People must not only use AI responsibly, but the people designing and programming AI must do so responsibly, too. Technologists must ensure that the data the AI depends on is accurate and free from bias. This diligence is necessary to confirm that the AI’s output is correct and without prejudice.
Sentient is an adjective that means someone or some thing is aware of feelings, sensations, and emotions. In futuristic movies depicting AI, the characters’ world goes off the rails when the robots become sentient, or when they “feel” human-like emotions. While it makes for great Hollywood drama, today’s AI is not sentient. It doesn’t empathize or understand the true meanings of happiness, excitement, sadness, or fear.
So, even if an AI composed a short story that is so beautiful it made you cry, the AI doesn’t know that what it created was touching. It was just fulfilling a prompt and used a pattern to determine which word to choose next.
1The New York Times, “Here’s What Happens When Your Lawyer Uses ChatGPT”
The post 10 Artificial Intelligence Buzzwords You Should Know appeared first on McAfee Blog.
It’s all anyone can talk about. In classrooms, boardrooms, on the nightly news, and around the dinner table, artificial intelligence (AI) is dominating conversations. With the passion everyone is debating, celebrating, and villainizing AI, you’d think it was a completely new technology; however, AI has been around in various forms for decades. Only now is it accessible to everyday people like you and me.
The most famous of these mainstream AI tools are ChatGPT, DALL-E, and Bard, among others. The specific technology that links these tools is called generative artificial intelligence. Sometimes shortened to gen AI, you’re likely to have heard this term in the same sentence as deepfake, AI art, and ChatGPT. But how does the technology work?
Here’s a simple explanation of how generative AI powers many of today’s famous (or infamous) AI tools.
Generative AI is the specific type of artificial intelligence that powers many of the AI tools available today in the pockets of the public. The “G” in ChatGPT stands for generative. Today’s Gen AI’s evolved from the use of chatbots in the 1960s. Now, as AI and related technologies like deep learning and machine learning have evolved, generative AI can answer prompts and create text, art, videos, and even simulate convincing human voices.
Think of generative AI as a sponge that desperately wants to delight the users who ask it questions.
First, a gen AI model begins with a massive information deposit. Gen AI can soak up huge amounts of data. For instance, ChatGPT is trained on 300 billion words and hundreds of megabytes worth of facts. The AI will remember every piece of information that is fed into it. Additionally, it will use those nuggets of knowledge to inform any answer it spits out.
From there, a generative adversarial network (GAN) algorithm constantly competes with itself within the gen AI model. This means that the AI will try to outdo itself to produce an answer it believes is the most accurate. The more information and queries it answers, the “smarter” the AI becomes.
Google’s content generation tool, Bard is a great way to illustrate generative AI in action. Bard is based on gen AI and large language models. It’s trained in all types of literature and when asked to write a short story, it does so by finding language patterns and composing by choosing words that most often follow the one preceding it. In a 60 Minutes segment, Bard composed an eloquent short story that nearly brought the presenter to tears, but its composition was an exercise in patterns, not a display of understanding human emotions. So, while the technology is certainly smart, it’s not exactly creative.
The major debates surrounding generative AI usually deal with how to use gen AI-powered tools for good. For instance, ChatGPT can be an excellent outlining partner if you’re writing an essay or completing a task at work; however, it’s irresponsible and is considered cheating if a student or an employee submits ChatGPT-written content word for word as their own work. If you do decide to use ChatGPT, it’s best to be transparent that it helped you with your assignment. Cite it as a source and make sure to double-check your work!
One lawyer got in serious trouble when he trusted ChatGPT to write an entire brief and then didn’t take the time to edit its output. It turns out that much of the content was incorrect and cited sources that didn’t exist. This is a phenomenon known as an AI hallucination, meaning the program fabricated a response instead of admitting that it didn’t know the answer to the prompt.
Deepfake and voice simulation technology supported by generative AI are other applications that people must use responsibly and with transparency. Deepfake and AI voices are gaining popularity in viral videos and on social media. Posters use the technology in funny skits poking fun at celebrities, politicians, and other public figures. However, to avoid confusing the public and possibly spurring fake news reports, these comedians have a responsibility to add a disclaimer that the real person was not involved in the skit. Fake news reports can spread with the speed and ferocity of wildfire.
The widespread use of generative AI doesn’t necessarily mean the internet is a less authentic or a riskier place. It just means that people must use sound judgment and hone their radar for identifying malicious AI-generated content. Generative AI is an incredible technology. When used responsibly, it can add great color, humor, or a different perspective to written, visual, and audio content.
Technology can also help protect against voice cloning attacks. Tools like McAfee Deepfake Detector, aim to detect AI-generated deepfakes, including audio-based clones. Stay informed about advancements in security technology and consider utilizing such tools to bolster your defenses.
The post What Is Generative AI and How Does It Work? appeared first on McAfee Blog.
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