Since the introduction of ChatGPT, artificial intelligence (AI) has exponentially expanded. While machine learning has introduced many merits, it also leads to security concerns that can be alleviated through several key strategies.
The Benefits and Risks of Generative AI
The primary focus of AI is to use data and computations to aid in decision-making. Generative AI can create text responses, videos, images, code, 3D products and more. AI as a Service, cloud-based offerings of AI, helps experts get work done more efficiently by advancing infrastructure at a quicker pace. In contrast, AI is also commonly used by the general public as a toy, since its responses can sometimes be entertaining. The comfort users have with AI and wide range of inputs introduces risk, and these risks can proliferate exponentially.
There are several key concerns for Government agencies when utilizing generative AI:
- Copyright Complications 鈥 AI content comes from many different sources, and that content may be copyrighted. It is difficult to know who owns the words, images or source code that is generated, as the AI鈥檚 algorithm is based on derivative information. The data could be open sourced or proprietary information. To combat this, users should modify rather than copy any information gained from AI.
- Abuse by Attackers 鈥 Bad actors can utilize AI to execute more effective and efficient attacks. While AI is not yet self-sufficient, inexperienced attackers can use AI to make phishing attacks more convincing, personal and effective.
- Sensitive Data Loss 鈥 Users have, either intentionally or unintentionally, input sensitive data or confidential information into Generative AI systems. It is easier to disclose sensitive information into AI prompts, as users may dissociate the risk from the non-human machine.
The many capabilities of AI entice employees to utilize it to support their daily tasks. However, when this includes introducing sensitive information, such as meeting audios for transcripts or unique program codes, security concerns ensue. Once data is in the AI鈥檚 system, it is nearly impossible to have it removed.
To protect themselves from security and copyright issues with AI, several large communications companies and school districts have blocked ChatGPT. However, this still carries risk. Employees or students will find ways around security walls to use AI. Instead of blocking apps, organizations should create a specific policy around generative AI that is communicated to everyone in the company.
Combatting AI Risks
One such policy method includes utilizing a Data Loss Prevention (DLP) solution. The DLP鈥檚 purpose is to detect and prevent unauthorized data transmission, and its capabilities can be applied to AI tools to mitigate these concerns. Its security parameters work through three main steps:
- Discover 鈥 DLPs can detect where data is stored and report on its location to ensure proper storage and accessibility based on its classification.
- Monitor 鈥 Agencies can oversee data usage to verify that it is being used appropriately.
- Protect 鈥 By educating employees and enforcing data-loss policies, DLPs can deter hackers from leaking or stealing data.
DLP endpoints can reside on laptops or desktops and provide full security coverage by monitoring data uploads, blocking data copied to removable media, blocking print and fax options and covering cloud-sync applications. For maximum security, agencies should utilize DLPs that cover all types of data storage鈥攄ata at rest, data in use and data in motion. A unified policy based on detection and response to data leaks will prevent users from misapplying AI and provide balance for secure operation.
While agencies want to stay competitive and benefit from AI, they must also recognize and take steps to reduce the risks involved. Through educating users about the pros and cons of AI and implementing a DLP to prevent accidental data leakages, agencies can achieve their intended results.
Broadcom is a global infrastructure technology leader that aims to enhance excellence in data innovation and collaboration. To learn more about data protection considerations for generative AI, view Broadcom鈥檚 webinar on security and AI.
In all learning environments, students and teachers rely on modern technologies to enhance their experiences to be as informational, productive and efficient as possible. In recent years, hybrid learning and collaborative digital spaces became essential components of education for both K-12 and higher education organizations. With this development, education technology has evolved and expanded to include new and more advanced AI systems inside and outside the classroom.
Innovative trends in education technology have made it possible for students and staff to stay connected, whether through remote online learning or collaborative learning in the classroom. AI tools like 
For teachers, implementing AI can help automate repetitive daily tasks like grading tests and quizzes, and catching minor mistakes within written essays. This way they have more freedom and time to focus on in-depth feedback, creating comprehensive lesson plans and spending one-on-one time with their students. Additionally, AI tools can give students instant feedback on their work, allowing them to be more independent in identifying inaccuracies and recognizing successful projects.[]
Augmented reality (AR) and virtual reality (VR) are becoming increasingly more popular in students鈥 everyday lives, so using these technologies as a learning tool is familiar and compelling for them to gain valuable experiences in the classroom. Immersive technologies can simulate real-world scenarios for students to gain hands-on experience with low risk, like medical simulations and technical experiments. It also can allow students to break the barrier between their physical space and complex concepts like observing the planets up close or enlarging and examining something microscopic.[] Not only do AR and VR create expansive opportunities for students to view and understand concepts in new and captivating ways, but they also create an additional, interactive and collaborative avenue of learning for students who may not be as responsive to traditional tools like textbooks and study guides.[]
Throughout a student鈥檚 education, data is continually collected to better understand and predict their developing needs and most effective learning strategies. AI technologies can quickly and automatically analyze and report on this data, allowing teachers and professors to evaluate trends in an individual student鈥檚 or an entire class鈥檚 performance. Empowered with this knowledge, educators can tailor their lesson plans and take a more proactive approach to supporting students鈥 needs, ultimately increasing academic improvement for all.[]
Student鈥檚 learning styles can vary depending on many factors. For example, some students learn best through more visual and interactive experiences, while others may learn best through memorization and flashcards. Analyzing data collected by AI can help teachers be more informed and prepared educators for different kinds of learners. By applying the insights gathered from AI algorithms, educators can create personalized tracks for individual students, including aspects like adjusting the types of content, working with their comfortability, tailoring to their pace of learning and understanding their comprehension of learning objectives.[] Additionally, AI technologies can help teachers plan, schedule and produce suggested lesson ideas more efficiently so they can target instruction and reduce the time it takes to create activities that best support each student.[]
The cloud is here to stay: Underpinning many new technologies is the cloud. As more healthcare organizations use hybrid and multi-cloud environments, compliance becomes increasingly complicated and important. This is particularly true considering regulations and data protection laws are constantly changing. One benefit is there is a lot of overlap between compliance requirements. Looking for these common requirements (i.e. encrypting sensitive data) can help organizations navigate the seemingly complex world of compliance.