Synthetic identity fraud now costs banks 6 billion a year, making it the fastest-growing financial crime in the US Criminals are able to exploit personal data breaches to fabricate "Frankenstein IDs." Cheap credential-stuffing software can be used to test thousands of stolen credentials across multiple platforms in a matter of minutes. And text-to-speech tools powered by AI can bypass voice authentication systems with ease. "Technology is both catalyzing and transformative," says John Pitts, head of industry relations and digital trust at Plaid. "Catalyzing in that it has accelerated and made more intense longstanding types of fraud. And transformative in that it has created windows for new, scaled-up types of fraud."

This study explores the effectiveness of AI tools in enhancing student learning, specifically in improving study habits, time management, and feedback mechanisms. The research focuses on how AI tools can support personalized learning, adaptive test adjustments, and provide real-time classroom analysis. Student feedback revealed strong support for these features, and the study found a significant reduction in study hours alongside an increase in GPA, suggesting positive academic outcomes. Despite these benefits, challenges such as over-reliance on AI and difficulties in integrating AI with traditional teaching methods were also identified, emphasizing the need for AI tools to complement conventional educational strategies rather than replace them. Data were collected through a survey with a Likert scale and follow-up interviews, providing both quantitative and qualitative insights. The analysis involved descriptive statistics to summarize demographic data, AI usage patterns, and perceived effectiveness, as well as inferential statistics (T-tests, ANOVA) to examine the impact of demographic factors on AI adoption. Regression analysis identified predictors of AI adoption, and qualitative responses were thematically analyzed to understand students' perspectives on the future of AI in education. This mixed-methods approach provided a comprehensive view of AI's role in education and highlighted the importance of privacy, transparency, and continuous refinement of AI features to maximize their educational benefits.

Imagine a customer-service center that speaks your language, no matter what it is. Alorica, a company in Irvine, California, that runs customer-service centers around the world, has introduced an artificial intelligence translation tool that lets its representatives talk with customers who speak 200 different languages and 75 dialects. So an Alorica representative who speaks, say, only Spanish can field a complaint about a balky printer or an incorrect bank statement from a Cantonese speaker in Hong Kong. Alorica wouldn't need to hire a rep who speaks Cantonese. Such is the power of AI.

Speech recognition company Voiceitt has announced it's integrating its technology into Webex Meetings. Building on Webex's existing live translations, Voiceitt's AI establishes and transcribes what people with non-standard speech are saying on calls. Its machine learning technology works by familiarizing itself with a person's speech patterns to better understand what they want to communicate, predicting phrases and elaborating on user-chosen shortcuts. Voiceitt is available as a standalone app, but the new partnership means Webex Meetings will have a chat bar pop up with live transcriptions. "The integration with Webex is game-changing because it creates more independence for users with disabilities, while increasing the potential for more collaborative, inclusive work environments," Sara Smolley, co-founder and vice president of strategic partnerships at Voiceitt, said in a statement.

While many workers worry AI bots will take their jobs, Samsung employees are no longer allowed to use them. The company banned generative AI tools, like ChatGPT and Google Bard, after discovering staff had added sensitive code to them, Bloomberg reported. This revelation followed last month's incident in which Samsung engineers uploaded internal source code and meeting notes to ChatGPT and accidentally leaked it. Samsung isn't waiting for another mishap to take action. "HQ is reviewing security measures to create a secure environment for safely using generative AI to enhance employees' productivity and efficiency," the company said in a memo to staff.

For models that take a long time to train, a notebook isn't always the most convenient option. If you're building an ML application, it's unlikely you'll only need to train your model once. Over time you'll want to retrain your model to make sure it stays fresh and keeps producing valuable results. Manually executing the cells of your notebook might be the right options when you're getting started with a new ML problem, but when you want to automate experimentation at scale or retrain models for a production application, a managed ML training option will make things much easier.

The early 20th-century department store magnate, John Wanamaker, who famously said, "I know half the money I spend on advertising is wasted, but I can never find out which half," couldn't have imagined the analytical power of today's innovative artificial intelligence (AI) tools for marketers. Google Analytics is the single-most popular website analytics tool on the market–it is used by more than half of all websites. But if you are one of the millions of marketers who use Google Analytics, you know that although it provides a lot of data, it doesn't reveal any real insights. It will show you a lot of numbers related to your site traffic, but it doesn't tell you what the data means or what to do with all of that information. Social media platforms like LinkedIn, Twitter, and Facebook provide their own metrics regarding your account activity and engagement. Your CRM or marketing automation system supplies additional data.

While most job interviews were once face-to-face affairs, during the Covid-19 pandemic there was a surge in the number of interviews taking place online. Amid this rise, many companies started using AI tools to sift through candidates before they were interviewed by a human. These tools are marketed as unbiased against gender and ethnicity, with developers claiming they can help to improve diversity in the workplace. However, a new study has warned that using AI in hiring is little better than'automated pseudoscience'. Researchers from the University of Cambridge found that.

Artificial intelligence stocks are rarer than you might think. Many companies tout AI technology initiatives and machine learning. But there really are few -- if any -- public, pure-play AI stocks. In general, look for companies using AI technology to improve products or gain a strategic edge. Venture capitalist Marc Andreessen once observed how "software is eating the world" by remaking industries through automation.

The following is an excerpt adapted from AI 2041 by Kai-Fu Lee and Chen Qiufan. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher. Artificial intelligence can perform many tasks better than people can, at essentially zero cost. This simple fact is poised to generate tremendous economic value but also to cause unprecedented job displacement -- a wave of disruption that will hit blue- and white-collar workers alike. In the future, AI will be doing everything from underwriting our loans to building our homes, and even hiring and firing us.