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V O L . X X X I N O. X X V § 2 N OV E M B E R 3 , 2 0 2 5 18 » C ONTI NU ED FROM PR EVI OU S PAGE AI skills in cybersecurity In his paper, "AI Skills in Cybersecurity: Global Job Trends Analysis," C. Matt Graham from the University of Maine, investigated the global demand for artificial intelligence expertise in cybersecurity roles by analyzing more than 8,000 job postings across nine countries. e research identified machine learning, natural language processing, predictive analytics, and neural networks as the most sought-after skills, each tied to cybersecurity functions such as anomaly detection, threat intelligence, and automated incident response. While these skills are globally relevant, regional differences emerged, such as the United States and United Kingdom emphasizing threat intel- ligence, while the United Arab Emirates focused on automated response. ese findings provide valuable insights for educators, employers, and job seekers, underscoring that success in cybersecurity increasingly depends on AI-driven skills and tailored education to meet the demands of a rapidly evolving threat landscape. AI bots and human interaction C. Matt Graham, associate professor of Information Systems and Secu- rity Management at the Maine Business School, University of Maine, exam- ined consumer perceptions of AI chatbots on social media in his paper, "Con- sumer Perceptions of AI Chatbots on Twitter (X) and Reddit: An Analysis of Social Media Sentiment and Interactive Marketing Strategies." By analyzing more than 800,000 posts between the launches of Chat- GPT-3 and ChatGPT-4, the study found that most comments reflected positive emotions such as joy and anticipation, with trust emerging as the dominant theme. However, concerns around job displacement, lack of emotional intel- ligence, and overreliance on AI persisted. e findings suggest that while ChatGPT is becoming part of everyday life, businesses must balance opti- mism with caution by highlighting transparency in training, positioning AI as a complement to human work, and creating engaging interactions that build brand loyalty. AI for early cancer detection Northeastern University bioengineering assistant research professor Saeed Amal and his team have developed a new AI architecture that can detect breast cancer with 99.7% accuracy, according to the journal, Cancers. Building on their earlier work with prostate cancer detection, the research- ers aim to create a web-based framework for diagnosing multiple cancers and redefining digital pathology. e team has also submitted an invention disclosure with Northeastern's Center for Research Innovation, positioning this breakthrough as a step toward improving early detection and saving lives.