Artificial intelligence is a phrase that can be awe-inspiring, depending on who you’re talking to.
But whether we like it or not, it looks like AI is here to stay. The total market is expected to reach $1.339 trillion by 2030, according to MarketsandMarkets forecasts. A Forbes survey showed that 77% of respondents were worried that AI would lead to job losses.
Manasi Bartak, chief AI architect at Cloudera, says this concern is valid. But this could ultimately hold workers back, and they may actually be at risk of losing their jobs to those who are more willing to embrace new technology.
What is generative AI?
Joe Edwards, director of product marketing at automation software company UiPath, says generative AI can help “go from imagination to reality.”
Generative AI can create words, music, photos, and videos from a few suggestions. This year, AI art, fake images of celebrities and posthumous music started circulating, causing an uproar on social media.
Edwards said the generative AI system will be trained on large amounts of data, studying photos, videos and how people behave online. These advanced learning machine models can identify patterns and create unique content.
“Previously, AI could do what we call ‘predictions’ and determine whether a tweet or news article was positive or negative,” Bartak says. “But now you can write entire news articles and create content from scratch. That’s why this is so different and amazing.”
Generative AI has both advantages and disadvantages.
For example, Vartak says he’s good at writing. Draft tweets and emails, or create elaborate, fantasy stories. Sometimes we break down complex topics to summarize or learn information. It can also handle everyday tasks like transcribing meetings and sorting data.
However, imagination is often too strong and can leave us with false or misleading information. For example, if you ask ChatGPT, “How many ‘r’s are there in the word strawberry?” You will repeatedly receive incorrect answers.
“Lying can make you sound very confident,” says Edwards.
When a large-scale language model recognizes patterns that don’t exist or spits out answers that don’t make sense, it’s called a “hallucination.” This is a big challenge with any technology, Bartak said. If you ask someone to summarize an article or paper, chances are it will only be 80% correct.
Some incorrect answers are low-risk and highly entertaining, while others can spread dangerous misinformation. When Google announced its AI overview earlier this year, one of the popular answers was, “Doctors recommend smoking two to three cigarettes per day during pregnancy.” .
And as man-made creations, generative AI can amplify human biases. AI images can perpetuate harmful racial and gender stereotypes, the Washington Post found in 2023.
“These models are trained on biased data that exists in the world, so they may not be representative of women, minorities, LGBTQ communities, or people of color,” Bartak said. he says. “If we only take what technology tells us as gospel, we will miss those stories entirely.”
How to use generation AI
Vartak says to stay informed about humans. Generative AI should be a navigation partner, not a driver.
“Give it some ideas, let it generate some text, and then review it to make sure it’s accurate,” she says. “Trust, but verify.”
After returning from maternity leave, Edwards used a generative AI program to organize her email pile. You can also use it as a brainstorming partner to plan your child’s birthday party or upcoming trip.
Aspiring chefs can experiment in the kitchen to help create recipes. Musicians can try their hand at custom track manufacturers, and some are using it to help future homeowners purchase homes.
It also has business uses and can be customized to suit your business. Unfortunately for teachers, this means developing a keen eye for essays and responses from students generated by ChatGPT. In the medical field, some doctors are using AI to improve patient consultations and translate consultation notes into understandable language. Some AI systems can detect breast cancer, pulmonary embolism, and stroke, potentially leading to early, life-saving diagnoses.
Software companies like Cloudera and UiPath are creating bespoke, private AI systems trained on small amounts of data to avoid leaks and hallucinations.
Vartak and Edwards both recommend trying generative AI. This doesn’t require as much dedication as trying out ChatGPT or a more complex free online training course.
“Think of it as your buddy,” Vartak says. “It can make our daily lives more enjoyable and more productive. I think all new technology is difficult, but this is here to stay and has the potential to be a force for good.” There is.”
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