Could AI be used to cheat on programming tests?

May 19, 2022 | Privacy, Security

Plagiarism isn’t limited to essays. Programming plagiarism — where a developer copies code deliberately without attribution — is an increasing trend. According to a New York Times article, at Brown University, more than half of the 49 allegations of academic code violations in 2016 involved cheating in computer science. At Stanford, as many as 20% of the students in a single 2015 computer science course were flagged for possible cheating, the same piece reports.

Measure of Software Similarity, or MOSS, has remained one of the most popular systems to detect plagiarism in software since its development in 1994. MOSS can analyze code in a range of languages including C, C++, and Java, automatically listing pairs of programs with similar code and highlighting individual passages in programs that appear to be the same.

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Navigating Cybersecurity Challenges for SMBs

Navigating Cybersecurity Challenges for SMBs

In this inaugural episode of Inside The Briefcase, Rocky Giglio interviews David Bellini, founder of ConnectWise and CyberFox, discussing his journey in the IT and cybersecurity industry. David shares insights on the evolution of technology, the challenges faced by small and medium-sized businesses (SMBs) in cybersecurity, and the mission of CyberFox to provide effective security solutions tailored for SMBs. The discussion also touches on the impact of AI on cybersecurity and the importance of compliance for businesses.

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