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AI Insights: Nudging Security, Regulating AI, Protecting Minors, and Sustainability Challenges for Gen AI
AI Cybersecurity, Regulations and Privacy Week in Review

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Dear reader, here’s your weekly recap on the latest news on AI security, regulations, and privacy.
In this issue, we cover:
Nudge Security to create awareness on AI Tools usage
The latest AI regulations from governing boards
PimEyes, Face recognition software, blocks searches for minors
Companies need to be aware of the sustainability issues with Gen AI
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RISK AND SECURITY MANAGEMENT
Who's Experimenting with AI Tools in Your Organization? - The Hacker News
AI productivity tools like ChatGPT are popular among employees, but they pose security risks for IT teams. Organizations need to create policies to guide their use and protect their data. Nudge Security can help by discovering, alerting, reviewing, detecting, nudging, and sharing information about AI tools in your organization.
A UK government report says that generative AI could pose serious threats to online security and trust, as well as enable terrorist attacks, by 2025. However, some experts doubt the accuracy of these predictions. Prime Minister Rishi Sunak will address the challenges and opportunities of AI.
REGULATIONS
Governments race to regulate AI tools - Reuters
The latest AI regulation updates from the international governing bodies.
EU may fail to pass its AI Act in 2023 - The Verge
The EU AI Act, a law to regulate foundation models, is facing delays as lawmakers disagree on key issues. Spain wants more frequent checks and different rules for models with more users. The law could be postponed to next year, worrying some open-source developers and governments.
Privacy
PimEyes, a face recognition engine, has stopped allowing searches of minors to protect children's privacy; however, The New York Times tested its new-age detection AI and found it unreliable. The company's CEO says this feature was only fully implemented after the release of the critical article by the New York Times. PimEyes is one of many face recognition tools that have raised privacy concerns.
Sustainability
Generative AI's sustainability problems explained - TechTarget
GenAI is a fascinating and hyped technology, but it also has a high environmental cost. It consumes a lot of energy and emits much carbon, which worsens the climate crisis. Companies should be aware of this issue and try to use GenAI responsibly and sustainably.
AI applications have a high carbon footprint due to their reliance on energy-intensive data centers. These data centers consume a lot of electricity and need cooling systems to prevent overheating. The electricity usage and the cooling systems contribute to the greenhouse gas emissions of AI applications, which are already higher than the aviation industry. To address this issue, the AI industry needs to measure and optimize its environmental impact.
Resources
Free Harvard course on databases and SQL from CS50. The course teaches how to query, design, and manipulate databases using real-world examples. The course has seven modules that cover topics such as SELECT, WHERE, LIKE, aggregate functions, and more. The course also provides lectures, notes, and problem sets to help learners practice their skills.