Utilization of artificial intelligence brings risks as well as rewards. E4D Technologies has found organizations using this emerging technology should only move forward with the integration of AI tools using well-planned and well-executed measures. While AI tools are useful in tasks which are repetitive or data-intensive, freeing up resources, these are also the same instances where nefarious actors or inept usage can create potentially serious risks during and after AI Adoption. Here’s what you need to know about AI tools in business from E4D Technologies:
Concerns for Data Privacy in AI Tools for Business
One of the top concerns for AI tools for business regards surveillance, hacking and digital privacy. From both design and manufacturing viewpoints — especially in any industry subject to regulations regarding Personal Identifiable Information — data privacy and security are of particular importance. Hackers are increasingly using AI to assist them in bypassing security methods — brute-force hacking, dictionary attacks and acoustic side-channel attacks are all methods in which AI analysis can improve hackers’ chances of compromising your data. Setting up strong minimum password complexity requirements and never reusing passwords can help limit the dangers of AI password cracking.
Input Manipulation Vulnerabilities
Attacks which manipulate data an AI uses as an input or prompt, such as altering an image or document before analysis, can force an otherwise reliable AI tool to output compromised data, compromised analyses of that data or a bad decision in response to that data. A well-known example of this type of vulnerability was seen in 2016 with Microsoft’s AI chatbot “Tay” — which used social media interaction as an input. Organizations should be careful to protect, verify and validate not only the AI processes in a product or process, but also the data used to prompt the AI tool.
AI Strategy for Code-Generating AI
Assuming code-generating artificial intelligence tools can replace human developers is fraught with risk, both regarding potential copyright violations and introduced vulnerabilities. Some tools can be prompted to generate code using snippets from personal codebases, example code from copyrighted instructional books, and even code from registered IPs unrelated to the user. Tools may also tend to use default values and common solutions which already have associated exploits. For these reasons, code-generating AI may be more useful for low-risks tasks or fine-tuning existing code, instead of a stand-alone solution for workplace automation.
E4D is exploring AI tools in business to increase efficiency and enhance existing processes. The key to increasing rewards and limiting risks with AI integration in the workplace, especially the Product Development Life Cycle, rests in the details of the AI strategy an organization takes. AI tools can increase productivity and free up resources but must be tempered with knowledgeable human oversight where it is used. Interested in discovering how AI Integration into E4D’s manufacturing and design could help your organization? Reach out to E4D’s team to learn more about the vision for the future!
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