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Use AI to refine educational video content

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Hello, I’m real-life Amy. I’m an instructional designer at Hong Kong UST. Hello, I am AI Amy. Can you see the difference? From now on, this will be narrated by AI. I am excited to share how generative AI can unlock the potential of repurposing online recordings for enhanced blended learning. Educational videos are now essential resources in higher education, serving as vital content delivery tools in flipped, blended and online classes. However, producing high-quality video recordings can be challenging. 

In the past year, the global education community has faced significant challenges due to the rapid shift toward digital learning. Traditional face-to-face classrooms have transformed into online and hybrid formats, necessitating quick adaptation from faculty and teaching staff. Many have turned to platforms like Zoom, resulting in a wealth of recorded content. Yet, while these recordings often serve as backups, they have the potential to be transformed into effective educational tools. Today’s students are no longer confined to textbooks and lecture notes. They increasingly turn to videos to learn software, solve problems and acquire new skills. As educators, we may hesitate, wondering if we need to master video editing or recording techniques.

Achieving clarity and engagement in a single take is challenging. This is where generative AI steps in to simplify and streamline the content enhancement process. By leveraging generative AI technologies, we can repurpose our recordings for blended learning environments, making them more accessible and engaging. 

Importantly, this innovative approach allows us to enhance materials for future iterations without the need for constant rerecording. By analysing student feedback and learning patterns, we can refine our videos for subsequent runs, ensuring our online content continually evolves to meet learners’ needs. This adaptive strategy not only boosts student engagement but also maximises the effectiveness of our teaching strategies.

Generative AI provides practical solutions to enhance your video development process. Here’s how: 

Step one, transcription. Utilise the speech to text capability of generative AI to convert audio extracted from lectures, whether face-to-face or Zoom, into written transcripts. This feature allows for easier review and refinement of your materials. By automating transcription, you save valuable time and can focus on enhancing the clarity of your content.

Step two, review and refine. Once transcription is complete, you can edit the script to improve coherence and align the content with desired learning outcomes. This step is crucial for ensuring that your message resonates with students and effectively conveys the intended concepts. 

Step three, voice cloning and AI mirror avatar. Generative AI also enables you to create voice clones and AI avatars, eliminating the need for extensive re-recording. This capability allows you to deliver engaging, error-free speech, facilitating a smoother learning experience for students as they follow along and grasp complex concepts more easily. 

Let’s explore a scenario where an instructor has recorded content and identified opportunities for refinement during the review process. With the assistance of generative AI, the instructor can streamline content refinement in three simple steps, prioritising substance over technical challenges. Transcribe. Upload your recorded audio from a face-to-face lecture or Zoom session to a speech to text tool. The transcription process is quick and efficient, allowing you to add the text to your document for further refinement.

Review and edit. With the transcription in hand, edit the script to enhance clarity and coherence, aligning it with your learning objectives. Clone your voice and your own AI avatar. Utilise digital clone technology to create a digital version of your voice and an AI avatar. This process is straightforward and involves either recording new audio video or uploading an existing sample.

Once everything is ready, we can thoughtfully integrate the digital version of your voice and your AI avatar into the PowerPoint slide deck, allowing for easy addition or editing of new content without affecting the entire video rerecording. Please pause the video and scan the QR code to see how this works in the final output of the educational video. 

By leveraging generative AI technologies, these tools provide time-saving benefits for upcycling recorded content. Instructors can effectively repackage their knowledge assets and implement a blended learning approach. While AI tools offer significant advantages, they are designed to assist, not replace, educators’ expertise. Your role in reviewing and refining content is essential to ensure accuracy and alignment with instructional goals. For educational videos to truly engage learners, technical skills must be paired with sound pedagogical principles to maximise learning effectiveness. Integrating generative AI into video production not only saves time but also reduces the need for extensive space and equipment set-up. Most importantly, it enhances the overall learning experience by utilising the expertise of content specialists in script development. By balancing technology with human involvement, we can create more effective and engaging educational resources for our students.

Amy Chong is an instructional designer at Hong Kong University of Science and Technology.

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Impostor uses AI to impersonate Rubio and contact foreign and US officials : NPR

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Secretary of State Marco Rubio attends a signing ceremony for a peace agreement between Rwanda and the Democratic Republic of the Congo at the State Department, June 27, 2025, in Washington.

Mark Schiefelbein/AP


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Mark Schiefelbein/AP

WASHINGTON — The State Department is warning U.S. diplomats of attempts to impersonate Secretary of State Marco Rubio and possibly other officials using technology driven by artificial intelligence, according to two senior officials and a cable sent last week to all embassies and consulates.

The warning came after the department discovered that an impostor posing as Rubio had attempted to reach out to at least three foreign ministers, a U.S. senator and a governor, according to the July 3 cable, which was first reported by The Washington Post.

The recipients of the scam messages, which were sent by text, Signal and voice mail, were not identified in the cable, a copy of which was shared with The Associated Press.

“The State Department is aware of this incident and is currently monitoring and addressing the matter,” department spokeswoman Tammy Bruce told reporters. “The department takes seriously its responsibility to safeguard its information and continuously take steps to improve the department’s cybersecurity posture to prevent future incidents.”

She declined to comment further due to “security reasons” and the ongoing investigation.

It’s the latest instance of a high-level Trump administration figure targeted by an impersonator, with a similar incident revealed in May involving President Donald Trump’s chief of staff, Susie Wiles. The misuse of AI to deceive people is likely to grow as the technology improves and becomes more widely available, and the FBI warned this past spring about “malicious actors” impersonating senior U.S. government officials in a text and voice messaging campaign.

The hoaxes involving Rubio had been unsuccessful and “not very sophisticated,” one of the officials said. Nonetheless, the second official said the department deemed it “prudent” to advise all employees and foreign governments, particularly as efforts by foreign actors to compromise information security increase.

The officials were not authorized to discuss the matter publicly and spoke on condition of anonymity.

“There is no direct cyber threat to the department from this campaign, but information shared with a third party could be exposed if targeted individuals are compromised,” the cable said.

The FBI has warned in a public service announcement about a “malicious” campaign relying on text messages and AI-generated voice messages that purport to come from a senior U.S. official and that aim to dupe other government officials as well as the victim’s associates and contacts.

This is not the first time that Rubio has been impersonated in a deepfake. This spring, someone created a bogus video of him saying he wanted to cut off Ukraine’s access to Elon Musk’s Starlink internet service. Ukraine’s government later rebutted the false claim.

Several potential solutions have been put forward in recent years to the growing misuse of AI for deception, including criminal penalties and improved media literacy. Concerns about deepfakes have also led to a flood of new apps and AI systems designed to spot phonies that could easily fool a human.

The tech companies working on these systems are now in competition against those who would use AI to deceive, according to Siwei Lyu, a professor and computer scientist at the University at Buffalo. He said he’s seen an increase in the number of deepfakes portraying celebrities, politicians and business leaders as the technology improves.

Just a few years ago, fakes contained easy-to-spot flaws — inhuman voices or mistakes like extra fingers — but now the AI is so good, it’s much harder for a human to spot, giving deepfake makers an advantage.

“The level of realism and quality is increasing,” Lyu said. “It’s an arms race, and right now the generators are getting the upper hand.”

The Rubio hoax comes after text messages and phone calls went to elected officials, business executives and other prominent figures from someone who seemed to have gained access to the contacts in Wiles’ personal cellphone, The Wall Street Journal reported in May.

Some of those who received calls heard a voice that sounded like Wiles, which may have been generated by AI, according to the newspaper. The messages and calls were not coming from Wiles’ number, the report said. The government was investigating.



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Tuya Inc. (NYSE:TUYA) Among Forbes China Top 50 AI Tech Enterprises – Insider Monkey

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Tuya Inc. (NYSE:TUYA) Among Forbes China Top 50 AI Tech Enterprises  Insider Monkey



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IBM rolls out new chips and servers, aims for simplified AI

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FILE PHOTO:  IBM announced a new line of data center chips and servers that it says will be more power-efficient than rivals and will simplify the process of rolling out AI.
| Photo Credit: Reuters

International Business Machines on Tuesday announced a new line of data center chips and servers that it says will be more power-efficient than rivals and will simplify the process of rolling out artificial intelligence in business operations.

IBM introduced its new Power11 chips on Tuesday, marking its first major update to its “Power” line of chips since 2020.

These chips have traditionally vied against offerings from Intel and Advanced Micro Devices in data centers, particularly in specialized sectors such as financial services, manufacturing and healthcare.

Like Nvidia’s AI servers, IBM’s Power systems are an integrated package of chips and software.

Tom McPherson, general manager of Power systems at IBM, said the Armonk, New York-based company used that tight coupling to focus on reliability and security.

The Power11 systems, available from July 25, will not need any planned downtime for software updates, and their unplanned downtime each year averages just over 30 seconds.

They are also designed to detect and respond within a minute to a ransomware attack – where hackers encrypt data and then try to extract a ransom in exchange for the keys, IBM said.

In the fourth quarter of this year, IBM plans to integrate Power11 with Spyre, its AI chip introduced last year.

McPherson said IBM does not aim to compete with Nvidia in helping create and train AI systems, but is instead focused on simplifying AI deployment for inference, the process of putting an AI system to work in speeding up a business task.

“We can integrate AI capabilities seamlessly into this for inference acceleration and help their business process improvements,” McPherson said in an interview last week referring to work with early customers.

“It’s not going to have all the horsepower for training or anything, but it’s going to have really good inferencing capabilities that are simple to integrate.”



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