Advances in AI-Driven Creative Tools and Cybersecurity

The field of artificial intelligence (AI) is witnessing significant developments in creative tools and cybersecurity. Researchers are exploring new ways to leverage AI for creative coding, image generation, and natural language processing. A key trend is the integration of AI-powered assistants into various platforms, such as Scratch and GitHub, to support users in their creative endeavors. Additionally, there is a growing focus on ensuring the safety and security of online communities, with the development of innovative solutions for cyberbullying detection and IP risk mitigation. Noteworthy papers in this area include:

  • Beyond Productivity: Rethinking the Impact of Creativity Support Tools, which argues for a more holistic approach to evaluating creativity support tools.
  • Safer Prompts: Reducing IP Risk in Visual Generative AI, which evaluates the effectiveness of prompt engineering techniques in mitigating IP infringement risks.
  • Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models, which proposes a real-time solution for cyberbullying detection using stream-based machine learning models and large language models.

Sources

Beyond Productivity: Rethinking the Impact of Creativity Support Tools

Safer Prompts: Reducing IP Risk in Visual Generative AI

Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework

The Shift Towards Preprints in AI Policy Research: A Comparative Study of Preprint Trends in the U.S., Europe, and South Korea

Scratch Copilot: Supporting Youth Creative Coding with AI

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub

An Empirical Study of OpenAI API Discussions on Stack Overflow

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor

Defining and Quantifying Creative Behavior in Popular Image Generators

Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation

Creative Telescoping

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