Thursday, April 24, 2025

Law Enforcement and Cybersecurity Use of AI to Combat Dark Net Crime

 

Introduction

While AI is a powerful tool for criminals, it is also being used by law enforcement and cybersecurity professionals to detect and disrupt dark net activities. This article details how AI is assisting defenders in monitoring, analyzing, and intervening in dark net crime.

AI for Dark Web Monitoring

AI language models like DarkBERT are trained on dark net data to understand the language and context of hidden forums and marketplaces. These tools help identify ransomware leak sites, illicit product listings, and emerging threats faster than human analysts.

Image and Video Analysis

Machine vision tools analyze seized images and videos to detect illegal content, identify victims, and find clues that can link suspects to real-world identities. Deepfake detection algorithms help authenticate media and debunk AI-generated misinformation.

Blockchain Analysis

Machine learning helps trace cryptocurrency transactions, identifying patterns that link wallet addresses to illegal activities. These tools have been instrumental in takedowns of major dark net marketplaces.

Predictive Policing and Intelligence Analysis

Predictive models assess the likelihood of real-world crimes based on dark net activity. AI is used to link accounts, detect criminal networks, and prioritize threats. This allows law enforcement to act proactively against emerging dangers.

AI in Investigations and Operations

AI accelerates investigations by sorting through large datasets of messages, transactions, and user data. It assists in evidence gathering, identity verification, and suspect profiling. Undercover AI agents can also engage with suspects to gather intelligence.

Defender Countermeasures and Collaboration

Cybersecurity firms use AI to detect AI-written phishing attempts and novel malware. AI-powered monitoring systems provide real-time threat intelligence. Public-private partnerships enhance the effectiveness of AI in fighting dark net crime.

Conclusion

AI is a critical tool in the fight against dark net crime. While criminals use it to scale attacks and evade detection, defenders are leveraging AI to anticipate threats, gather intelligence, and dismantle illicit operations. Continued innovation and collaboration are essential to staying ahead in this evolving landscape.

Saturday, April 12, 2025

Claude vs. ChatGPT in Canadian Universities: A Deeper Dive into Student AI Usage

Introduction

As generative AI tools continue to evolve, their integration into academic life is reshaping how students learn, research, and complete assignments. In Canada, where post-secondary institutions are increasingly experimenting with AI policies and learning frameworks, the comparison between Claude (by Anthropic) and ChatGPT (by OpenAI) reveals critical insights into the future of student-AI collaboration. While both tools offer robust capabilities, they serve different student behaviors, disciplines, and institutional strategies.

1. Adoption and Awareness in Canada

ChatGPT currently dominates awareness and use in Canada. According to recent surveys:

  • 68% of Canadian university students are aware of ChatGPT.

  • 43% have used it for academic purposes.

  • International students report even higher usage, at 63%, compared to 39% among domestic peers.

In contrast, Claude—though less widely adopted—has seen rapid growth, particularly within STEM departments. Its rise is attributed to:

  • A strong emphasis on logical reasoning and coding support.

  • The introduction of Claude’s Learning Mode, designed specifically for education settings to foster critical thinking.

2. Usage Patterns and Cognitive Depth

Students use ChatGPT for a wide range of tasks, including:

  • Grammar checking and paraphrasing (55%).

  • Study aids like flashcards and summaries (49%).

  • Brainstorming, creative prompts, and idea generation.

Claude is more often used for:

  • Technical problem-solving (e.g., code debugging).

  • Essay refining and knowledge synthesis.

  • Conceptual clarification in higher-order tasks (e.g., creating practice problems).

Anthropic’s internal report indicates that over 70% of Claude’s usage involves “creating” and “analyzing”—tasks situated at the top of Bloom’s Taxonomy. This suggests a heavier emphasis on deep learning, compared to ChatGPT's broader, often more surface-level, support functions.

3. Discipline-Specific Trends

In both platforms, usage correlates strongly with disciplinary orientation:

Field

Claude

ChatGPT

Computer Science

Dominant (36.8%)

High usage

Natural Sciences

Moderate

Moderate

Humanities

Underrepresented

Common

Business & Health

Low engagement

Broadly used

Claude's dominance in STEM stems from its ability to reason through complex problems and maintain long, technical threads. ChatGPT's versatility, by contrast, lends itself well to the Humanities, Business, and Education, where writing support and ideation are central.

4. Ethical and Academic Integrity Implications

Both tools present academic integrity challenges, especially in self-directed or take-home contexts.

  • ChatGPT is often used to generate entire responses, leading to cases of unedited AI content being submitted as original student work.

  • Claude, while used less frequently in this way, still poses concerns. Anthropic reports instances of students using Claude to rephrase plagiarized answers or complete take-home tests.

Canadian universities are responding by:

  • Promoting AI literacy workshops.

  • Updating syllabi to explicitly include or exclude AI tools.

  • Exploring AI-detection tools with limited success, as students learn to evade them.

Notably, UBC’s Centre for Teaching, Learning and Technology (CTLT) encourages an approach of “AI transparency”, inviting students to declare when they’ve used AI and reflect on its role in their work.

5. Future of AI in Higher Education: Claude vs. ChatGPT

Feature

Claude

ChatGPT

Deep reasoning

Strong

🟡 Moderate

Conversational fluency

🟡 Moderate

Excellent

Learning mode

Socratic prompts

🟡 Not built-in

STEM performance

Best-in-class

Competitive

Accessibility in Canada

🟡 Growing

Widely available (free GPT-4o access till May 2025)

As of now, ChatGPT remains the go-to AI tool for most Canadian students due to accessibility, conversational ease, and academic versatility. Claude, however, is carving out a niche as a “thinking partner” in more technical or research-intensive fields. If Anthropic continues to develop its educational tools and integrates Claude more deeply into learning platforms, its usage could rival ChatGPT, especially among Canadian STEM learners.

Conclusion

The rise of AI tools like ChatGPT and Claude is reshaping higher education across Canada. While both tools enhance productivity and access to knowledge, they demand critical reflection from educators and students alike. Institutions must balance the benefits of AI-enhanced learning with the risks of dependency and academic dishonesty. As the sector evolves, nuanced policy, transparent use, and AI literacy will determine whether these tools enrich or undermine the educational experience.

📚 References (APA 7th Edition)

Anthropic. (2024, April). Anthropic Education Report: How University Students Use Claude. https://www.anthropic.com/news/anthropic-education-report-how-university-students-use-claude

Anthropic. (2024, April). Introducing Claude for Education. https://www.anthropic.com/news/introducing-claude-for-education

OpenAI. (2024, March). College students and ChatGPT. https://openai.com/global-affairs/college-students-and-chatgpt

University of British Columbia CTLT. (2024). How are UBC students using generative AI?. https://ai.ctlt.ubc.ca/how-are-ubc-students-using-generative-ai

Academica Forum. (2023). Canadian students and ChatGPT: A new learning tool?. https://forum.academica.ca/forum/canadian-students-and-chatgpt-a-new-learning-tool

The Verge. (2024, May). OpenAI and Anthropic roll out AI tools for education. https://www.theverge.com/ai-artificial-intelligence/641193/openai-anthropic-education-tool-college

The Guardian. (2024, December). Inside the university AI cheating crisis. https://www.theguardian.com/technology/2024/dec/15/i-received-a-first-but-it-felt-tainted-and-undeserved-inside-the-university-ai-cheating-crisis