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Mitigating manipulation in generative AI

December 27, 2024 by Yanyi Wu

In an era where generative artificial intelligence (GAI) can compose symphonies and generate news articles with equal facility, the boundary between creation and manipulation becomes increasingly nebulous. This article discusses the fascinating and risky field of GAI and explores its potential to manipulate through deepfake videos and AI-generated text. Rather than presenting a … [Read more...] about Mitigating manipulation in generative AI

Decentralized identifiers

November 7, 2023 by Tamara Bonaci

Today, most of us have more accounts with corresponding usernames and passwords than we can count. Online banking, shopping, streaming, and social media, among other things, require the user to authenticate, or prove, their identity to utilize the provided service. Keeping track of a multitude of accounts becomes burdensome, and many of us turn toward the usage of weak or … [Read more...] about Decentralized identifiers

It looks like me, but it isn’t me: On the societal implications of deepfakes

September 8, 2023 by Tamara Bonaci

Deepfakes are images or videos generated using deep learning technology to change the original conditions of a piece of media. Potential uses of this technology range from satirical content, depicting public figures in comical scenarios; to generating audio to mimic a specific voice; to inserting the face of an unknowing individual into potentially embarrassing content, for … [Read more...] about It looks like me, but it isn’t me: On the societal implications of deepfakes

How to Market to Generation Z on Social Media

September 8, 2023 by

Social media can be an effective medium to reach Generation Z (Gen Z) and advertise science, technology, engineering, and mathematics (STEM) programs. Creating viral content on social media is all about starting a trend and attracting user-generated content. One successful content can nudge millions of user-generated content and generate billions of views. For more … [Read more...] about How to Market to Generation Z on Social Media

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About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

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Privacy implications of facial recognition technology

Facial recognition technology (FRT) has experienced enormous growth and rapid deployment across different sectors of the society in recent years, mostly motivated by safety, security, and commercial applications. However, major privacy questions arise around this technology, and regulators are still working to provide clear set of rules governing its use. This paper focuses on privacy implications of FRT usage. Specifically, we first present the definition of FRT, followed by an analysis of the vulnerability and risks that can potentially arise and how they might be concerning in such context. Finally, we discuss efforts needed to mitigate privacy concerns related to FRT, from both technical and regulatory perspectives.

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