by Centroid
As Artificial Intelligence (AI) technologies continue to become more prevalent and widely adopted, concerns have also arisen about how to leverage AI solutions ethically, safely, and in a manner that protects data privacy and security. At Centroid, we’re committed to not only delivering state-of-the-art technologies that help facilitate innovation and business growth, but we’re also committed to delivering solutions that are trustworthy and provide clients with peace of mind in the privacy of their data, the security of sensitive information, and guardrails around how AI technologies are utilized.
That’s why we are excited to be partnering with Guardrail Technologies to offer even more opportunities to give customers greater control over their AI solutions. Guardrail Technologies is an industry leader at the forefront of advancing Responsible AI, helping shape a future where AI serves as a force for good. Their expertise spans AI, data science, legal, and ethics. We are proud to partner with an organization that’s made strides in advancing safe and ethical AI technologies and we’re thrilled to provide our customers with even more opportunities to leverage AI for accelerating innovation, improving lives, and solving complex business challenges.
We recently had the opportunity to sit down with Shawnna Hoffman, President of Guardrail Technologies, and dive into the real-world risks and opportunities of AI adoption during a recent episode of our Convo’s with Centroid podcast, “AI Guardrails” and the Art of the Possible: Data is Key, From Risk to Reward. We discussed some of the reasons businesses need to implement effective “AI Guardrails” to avoid negative or unintended outcomes. From AI pricing errors to unregulated chatbot behaviors, we had the opportunity to break down why responsible AI use is fundamentally essential for protecting your brand and reputation.
Discover three timely strategies for harnessing the power of AI while minimizing risk, maximizing ROI, and bolstering customer trust.
1. Choose the right AI use cases.
Without the right direction, companies risk spending a significant amount of time and money investing in AI for it to potentially not yield the desired results. Here’s a few questions that are important to consider at the outset of any AI project to ensure your AI initiatives are strategically aligned with business objectives and positioned well to enhance ROI:
- What’s our company’s direction over the next 1, 3, and 5 years?
- How can AI be leveraged support and accelerate these goals?
- Where can AI either help decrease costs or help to create more revenue?
It’s valuable to start with a rubric to serve as a guide for which use cases to prioritize. Some companies have tens, even hundreds, of use cases in mind when they start an AI initiative. However, it’s usually not feasible to go after a high volume of AI projects at the outset of your initiative. Starting with guiding principles and evaluating how AI initiatives are aligned with business objectives can go a long way in evaluating the best AI use cases to start with and enhancing ROI for your AI initiatives.
2. Avoid legal pitfalls by understanding the laws around AI.
Legal regulations governing the development, deployment, and utilization of AI technologies will vary significantly depending on where your organization operates. Although many regulatory agencies are still catching up with AI, there are several jurisdictions that already have laws in place restricting how AI can be used. For example, if you are based in Europe, AI technologies are governed by the EU’s AI Act, which outlines the legal regulations and frameworks regarding the transparency and privacy requirements of AI technologies, designed to ensure that AI systems are trustworthy, safe, and ethical.
3. Protect confidential and sensitive data while leveraging Generative AI tools.
It can be a challenge to safeguard proprietary and confidential data while still being able to fully leverage Generative AI technologies and produce meaningful and useful results. Some companies turn to simply redacting sensitive information before feeding data into a Generative AI tool, however, this can sometimes produce results that are not very useful or, in some cases, it can cause an AI tool to make something up in place of the redacted information—also referred to as hallucinations.
Leveraging a tool such as Guardrail Technologies’ Data Masker can prevent confidential or proprietary information from being integrated into AI training data by masking or aliasing sensitive information. This enables companies to fully and freely leverage their data with Generative AI tools in a manner that produces meaningful results while also protecting sensitive or proprietary information.
Experience “The Art of the Possible” with Centroid and Guardrail Technologies
Through our partnership with Guardrail Technologies, we are committed to helping our customers leverage the full breath of capabilities that AI offers while at the same time mitigating risk and liability. We are committed to ensuring that you can be at the forefront of AI and innovation while safeguarding your brand, protecting your reputation, and enhancing customer trust.
If you’re interested in learning more about how you can utilize AI tools to get more value from your enterprise data, increase revenue opportunities, and accelerate innovation—while safeguarding proprietary data and protecting your brand’s reputation—feel free to get in touch with us for a complimentary strategy session and consultation.