AI concerns continue as governments look for the right mix of regulations and protections FCW

International cooperation plays a pivotal role in ensuring robust data privacy and security standards across borders. Governments should collaborate on policy frameworks that promote transparency, accountability, and responsible use of AI technologies. By sharing best practices and working together on common challenges, countries can collectively establish a more secure environment for citizens’ data. For similar purposes, countries like the United States have enacted laws like the California Consumer Privacy Act (CCPA) that offer residents certain rights over their data. These laws mandate businesses to fully disclose what information is being collected, and how such will be used.

“Recent state of the art AI models are too powerful, and too significant, to let them develop without democratic oversight,” said Yoshua Bengio, one of the three people known as the godfather of AI. Together, these challenges underline why regulating the development of frontier AI, although difficult, is urgently needed. In a recent survey of over 2,700 researchers who have published at top AI conferences, the median researcher placed a 50 percent chance that human-level machine intelligence—where unaided machines outperform humans on all tasks—will be achieved by 2047. 11 Graphic by Marcus Comiter except for stop sign noise thumbnail and stop sign attack thumbnail from Eykholt, Kevin, et al. “Robust physical-world attacks on deep learning visual classification.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 9 Eykholt, Kevin, et al. “Robust physical-world attacks on deep learning visual classification.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

US-Russian Contention in Cyberspace

6clicks’ unique Hub & Spoke architecture provides a centralized risk and compliance function that spans distributed GRC programs and use cases across departments, teams and markets. The Hub makes it possible to define risk and compliance best-practice and content centrally, which is ‘pushed down’ to spokes (GRC programs, departments, teams and markets) that utilize the full suite of 6clicks GRC modules for day-to-day activities. Consolidated reporting and analytics are rolled up at the Hub level, giving the organization comprehensive reporting and insights across all Spokes.

This will allow stakeholders to make educated decisions regarding if AI is appropriate for their domain, as well as develop response plans for when attacks occur. Second, it should provide resources informing relevant parties about the steps they can take to protect against AI attacks from day one. Beyond creating programs and grants aimed solely at defense mechanisms and creating new methods not vulnerable to these attacks, DARPA and other funding bodies should mandate that every research project related to AI must include a component discussing the vulnerabilities introduced by the research. This will allow users who potentially adopt these technologies to make informed decisions as to not just the benefits but also the risks of using the technology. This report proposes the creation of “AI Security Compliance” programs as a main public policy mechanism to protect against AI attacks. The goals of these compliance programs are to 1) reduce the risk of attacks on AI systems, and 2) mitigate the impact of successful attacks.

GOVERNMENT & PUBLIC SECTOR

It can include machine-generated predictions that use algorithms to analyze large volumes of data, as well as other forecasts that are generated without machines and based on statistics, such as historical crime statistics. Your content creation process is probably still time-consuming and resource-intensive, leading to bottlenecks in delivering timely content to meet demands. This makes it difficult to scale content production while maintaining high standards in clear communication.Implementing generative AI helps teams address these challenges. By automating parts of your content creation process, you can streamline workflows, reduce manual effort, and accelerate content production.This leads to saving, increased productivity, and enhanced engagement. We understand executing AI at scale can be a difficult process—especially when one considers the challenges with processing the data required for AI models—and are committed to continuously delivering solutions to help clients leverage AI with speed and at scale. With IBM Cloud Object Storage, we are helping clients manage data files as highly resilient and durable objects—which can help enterprises to scale AI workloads.

Read more about Secure and Compliant AI for Governments here.