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Advancing digital investigations and intelligence through ethical, human-assisted AI solutions

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No matter how large or small an investigation, digital evidence is often the cornerstone of modern-day intel, whether it’s a criminal case, defense or intelligence matter. Nearly every person carries with them a cellphone, and that digital witness is a treasure trove of data. A person’s online behavior — where they go, who they interact with and what they’re searching for — is critical to public safety agencies working to protect our borders. This data, lawfully accessed and analyzed during an investigation or mission, can help make life-saving connections in large-scale investigations such as narcotics or human trafficking networks. Yet it is a lot of data and sifting through all of it requires a modernized workflow. Enter artificial intelligence — always in lock step with human oversight.

Each year, Cellebrite releases its Industry Trends Report, and an unsurprising 97% of respondents across multiple federal agencies cite smartphones as a key digital evidence source. Advanced investigative capabilities are badly needed, and federal agencies are increasingly strapped for time and resources. More than a third of investigators said they don’t have enough time to review all relevant data in investigations.

Cellebrite’s survey also shows a majority of investigators agree that digital evidence increases the ability to solve a case and shortens investigations, ultimately freeing up valuable time and resources for federal investigators. This is where AI can help address common investigative challenges and accelerate case closure.

Digital intelligence analysis challenges

Investigative speed is paramount for federal agencies to avoid backlogs. The multitude of devices with which suspects and victims regularly interact — an average case now involves two-to-five associated devices — means identifying and accessing relevant data takes time and can be a challenge to an efficient investigation.

Beyond the initial struggle to access data from multiple devices, federal investigators have to quickly identify actionable intelligence to advance an investigation. Where state and local agencies may rely on a collaborative network to help expedite data collection and analysis, even sometimes with regional federal agencies, on the whole, federal agencies are typically spread across a broader geographic area and do not have a platform to share evidence across regions or teams, which can slow down investigations.

Investigations must have clear chains of custody to ensure the findings are admissible in court. Only then can examination techniques and evidence insights be appropriately presented to prosecutors, judges and juries in a way that is both understandable and compliant with federal law. An investigation without proper due diligence and successful communication will only result in an inability to deliver justice for victims.

How AI can help

AI-powered investigative solutions can quickly sort through large quantities of data and automate repetitive tasks for investigators, allowing them to turn their attention to larger issues and top-level, nuanced decisions. In human trafficking investigations, I’ve seen first-hand these solutions identify criminal connections and accomplices which has resulted in the rescue of human trafficking victims. This digital evidence often leads to additional crimes and reveals links to other open cases — saving time and resources otherwise spent manually cross-referencing databases and suspect histories. All of this is done with human verification, and it speeds up the investigative timeline without sacrificing due diligence.

AI can also support sophisticated decision-making by interpreting, analyzing and summarizing critical information from exponentially growing data in real-time. This analysis points teams in the right direction, so they can find the proverbial needle in the haystack and make more informed decisions during their investigations. AI can help draw meaningful connections and even identify gaps in the evidence.

In addition to its productivity advances, AI has also been used to protect federal law enforcement examiners. Digital evidence can be traumatizing, especially when teams are reviewing human trafficking content or child sexual abuse material (CSAM). AI can categorize these kinds of files, and many teams are using it to reduce examiner exposure to distressing photos, videos, messages or other disturbing digital evidence assets. According to research from the Justice Department, nearly 20% of investigators struggle with burnout, and protecting an agent or officer’s wellbeing can help to expand a team’s capacity as they continue working with growing case volumes.

Best practices for applying AI to digital investigations

Make smart AI investments: Federal budgets are tightening, and agencies should invest in technology that can automate the most tedious –– but mission-critical –– tasks, such as image categorization. Agency leaders should prioritize AI solutions that provide actionable insights to accelerate investigations.

Create an ethical AI policy: Evidence defensibility should always be front-and-center, meaning responsible and transparent AI use is key. Particularly with a lack of official federal policy, agency leaders must determine which use cases of AI are appropriate and clearly communicate these expectations. Data privacy and a sound chain of custody should never be compromised.

Train law enforcement personnel: Once an ethical AI policy is established and tools are implemented, training on appropriate and effective use of these solutions is key. Ongoing conferences, seminars, digital forensics courses and simulated opportunities help staff keep pace with advancements in AI. AI-enabled insights gathered by under-skilled or untrained personnel can face admissibility challenges in court.

Ensure human oversight and analysis: Human expertise can never be replaced, no matter the AI’s sophistication. Technology-enabled findings must always be verified prior to use. For example, AI can flag unusual patterns in data yet cannot determine intent or identify if the activity is related to criminal behavior.

As the dependency on personal electronic devices grows, technology’s role in criminal cases, intelligence and defense missions will increase. Federal agencies have no choice but to embrace AI into their investigative processes and do so responsibly by investing in solutions that observe ethical guidelines, prioritizing ongoing training and human validation. These best practices will help federal law enforcement more swiftly and effectively protect our nation’s interests.

 

Matt Parker is head of global advocacy at Cellebrite.

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GPTBots.ai Showcases Business AI Agent Solutions at The

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HONG KONG, July 09, 2025 (GLOBE NEWSWIRE) — As enterprises worldwide race to adopt AI, GPTBots.ai made its mark at The MarTech Summit Hong Kong, Asia’s premier marketing technology conference attended by world-renowned brands such as JPMorgan, Yahoo, Nike, and DBS, alongside leading Hong Kong enterprises including Cathay Pacific, Hong Kong Disneyland, and The Hong Kong Jockey Club.

With 85% of enterprises prioritizing AI adoption in 2024 (Gartner), yet struggling with implementation gaps, GPTBots.ai demonstrated how its no-code AI Agent platform turns complex AI concepts into deployable solutions—without coding or data science teams.

Spotlight: Real-World AI in Action
At the summit, GPTBots.ai engaged with forward-thinking organizations, including:
A Top Hong Kong University: Their admissions team explored AI-powered chatbots to streamline student inquiries and application processes, aiming to:

  • Automate 80% of FAQs (e.g., program requirements, deadlines).
  • Guide applicants through form-filling with smart error detection.
  • Free staff to focus on students’ in-depth support.

A Leading Hong Kong Airline: Their tech team discussed internal efficiency AI Agents for:

  • AI search to make enterprise knowledge instantly accessible and empower every role.
  • Reducing IT helpdesk tickets by 50% via self-service troubleshooting.

Why GPTBots.ai Stood Out

  • Enterprise-Ready: Built to adapt to your business, no matter the size or complexity.
  • Proven at Scale: Powers AI Agents for financial services, healthcare, and retail giants.
  • End-to-End Capabilities: From strategy to deployment, we manage every step of your AI journey.

“The gap isn’t AI potential—it’s practical adoption,” said Tanya Quan, Marketing Director at GPTBots.ai. “We’re helping enterprises skip the lab and go straight to ROI.”

About GPTBots.ai
GPTBots.ai is an enterprise AI agent platform that empowers businesses to streamline operations, enhance customer experiences, and drive growth. Offering end-to-end AI solutions across customer service, knowledge search, data analysis, and lead generation, GPTBots enables enterprises to harness the full potential of AI with ease. With seamless integration into various systems, and support for scalable, secure deployments, GPTBots is dedicated to reducing costs, accelerating growth, and helping businesses thrive in the AI era.

To learn how GPTBots can accelerate your AI transformation, visit gptbots.ai.

Media Contact:
Contact: marketing@gptbots.ai
Website: www.gptbots.ai

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/9039b0e4-6355-4e0c-83d2-ca91953120f9



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Exploring AI and Emerging Technologies: A Special Event for UK Schools for Girls

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This was the second edition of the annual ‘AI Educational Revolution’ event. This hybrid event is co-organised by UCL Computer Science, GSA (Girls School Association) and Guernsey Ladies’ College. The series was developed as a way of inspiring secondary school girls to explore AI and STEM opportunities and to consider how they can shape their own futures in these rapidly evolving fields.

Artificial Intelligence (AI) is reshaping industries across the globe, influencing everything from global politics to creative sectors such as fashion. This year’s event offered students a unique opportunity to learn about the role of AI in shaping the future, with a focus on how AI is revolutionising careers and education.

 

Keynote Speakers and Topics

Leading experts from UCL, the government, and industry took to the stage to discuss AI’s impact on various sectors. The session covered everything from AI in geopolitics to its creative applications, with a particular emphasis on how these technologies are influencing education, career paths, and social inclusion.

Predicting Our Future: The Role of STEM

Insight on AI and Geopolitics
Ms. Jo Miller, Director of Technology at the UK Civil Service, kicked off the event with a thought-provoking talk about the vital role STEM and AI play in global geopolitics and technological futures.

The Power of Women in AI
Jo highlighted the importance of women and girls in shaping AI’s future. She posed the question, “What do you want the future to say?” and encouraged the audience to engage with AI to influence its direction.

Overcoming Barriers in Tech
Drawing from her own career in tech, Jo shared how her humanities background didn’t hinder her success. She urged students to pursue their ambitions in tech, regardless of their starting point.

AI in Education: Shaping the Future

AI and Career Paths
Daniele Harford-Fox, Principal of Guernsey Ladies’ College, discussed how AI is reshaping both education and the workforce. She highlighted the significant impact AI could have on professions like medicine, where many tasks may be automated.

The Importance of Human Skills in Some Fields
While AI may transform many areas, Daniele pointed out that certain roles, such as nursing, will still require human expertise and care, stressing the importance of these skills in the workforce of the future.

AI in Multisensory Experiences

Engaging the Senses
Prof. Marianna Obrist (Multi-Sensory Devices Lab at UCL Computer Science) introduced the concept of “AI in Multisensory Experiences.” She showcased how AI is enabling new ways to interact with the world through multiple senses, creating richer, more engaging experiences.

Humanising Technology
Her research focuses on incorporating more ‘humaness’ into technology. Prof. Obrist demonstrated how sensory experiences are being used in places like retail outlets and museums, as well as in therapeutic settings, such as using scent to enhance body image perception.

AI in Fashion and Beauty

AI’s Impact on Creative Industries
Prof. Philip Treleaven from UCL discussed how AI technologies, including ChatGPT, are transforming the fashion and beauty sectors. He highlighted the use of AI to create digital influencers, automate processes like dexterous sewing robots, and help brands like Shein to capitalise on trends and produce designs at an unprecedented pace.

AI for Social Inclusion

AI’s Potential for Education
Steve Grix, an expert in GENAIE and CAPTR, concluded the talks by discussing the use of AI for social inclusion. He introduced GENAIE, a generative AI platform designed to personalise education for disadvantaged communities.

AI Bridging Educational Gaps
Steve demonstrated how quickly GENAIE could generate lesson plans, showcasing its potential to bridge educational gaps and offer new learning opportunities for students from diverse backgrounds.
 

UCAS Applications and Q&A Session

In addition to the expert talks, students were given guidance on making a UCAS application. The event concluded with a lively Q&A session, where students had the opportunity to ask questions and engage directly with the speakers. The students’ thoughtful and ethical questions impressed the expert panel, sparking deeper discussions about the future role of AI in shaping both careers and society.

When asked for final thoughts, some of the students concluded the concepts and predictions gave them cause to think, but they wouldn’t let it deter them from their career aspirations. 

As AI continues to revolutionise a broad range of industries, this event provides an invaluable platform for students to engage with the technologies that will shape their futures. It also highlighted the importance of diverse input into the development of AI and the opportunities for young women to drive change in this field.



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China’s first bachelor’s program in AI education to address teacher shortage-Xinhua

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A student operates an AI-powered VR device at Shenzhen Xiantian Foreign Language School in south China’s Guangdong Province, March 21, 2025. (Xinhua)

BEIJING, July 9 (Xinhua) — Beijing Normal University (BNU) has launched China’s first undergraduate program dedicated to artificial intelligence (AI) education, aiming to address a critical shortage of specialized teachers in the field.

The initiative aligns with government directives to boost AI education across primary and secondary schools nationwide, the Science and Technology Daily reported on Wednesday.

In late 2024, the Ministry of Education issued a directive calling for measures to advance AI education in primary and secondary schools.

This year, Beijing’s municipal authorities issued a dedicated AI education plan for 2025-2027, demanding the establishment of regular teaching systems and standardized curricula.

“The shortage of qualified instructors and the lack of specialized training remain major obstacles,” said an official from BNU’s Faculty of Education, adding that the program’s core mission is to train educators equipped with both advanced AI technical skills and strong pedagogical expertise.

“We are leveraging our unique interdisciplinary strengths to cultivate talent that supports the country’s strategic drive toward intelligent education,” the official said.

Unlike purely technical AI degrees, BNU’s AI Education program integrates two essential knowledge streams. The curriculum combines an AI technology module, covering generative AI, machine learning, natural language processing, and educational data mining, with a foundation in education science, including learning theory, psychology, curriculum design and assessment.

The program also plans to introduce practical innovation courses, such as the application of AI technologies in education.

In addition, compulsory courses cover topics such as AI ethics and data security, instilling in students a core philosophy of “technology serving education,” according to BNU.

Beyond theory, the program fosters practical skills through a unique “university-enterprise-school” collaborative training model, which helps immerse students in real-world teaching environments and technical development projects.

Career prospects in the AI education field are broad, with graduates well-prepared to become AI or information technology teachers, driving digital transformation in primary and secondary schools.

The booming educational technology sector also needs their expertise to develop and refine AI-driven learning platforms and courses. Further career paths include academic research, educational management, and shaping AI education policy, according to the BNU’s Faculty of Education.

“AI advancements are reshaping society at unprecedented rates, profoundly altering education,” said Yu Shengquan, executive director of BNU’s Advanced Innovation Center for Future Education.

“Developing ‘digital citizens’ equipped for this new reality is now a central educational imperative,” Yu added.

The center has previously partnered with Chinese tech giant Tencent to develop a comprehensive AI knowledge framework and curriculum spanning elementary, middle and high school levels, according to Yu. 



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