These are interesting times to be around if you are into AI. We are seeing AI alliances being formed, and many being skeptical, saying that AI is being blown out of proportion.
And don't even get me started on the number of lawsuits regarding copyright violations by such generative AI products; there are plenty. There has been a lot of conversation around the misuse of AI, too.
But, what if those things could be avoided, with the help of say, an open-source framework for AI that would provide guard rails to help direct AI in an ethical, safe, and explainable manner.
Those are the claims of the team behind GuardRail, an innovative approach to managing AI systems. Allow me to take you through it.
Dubbed as “an open-source API-driven framework”, GuardRail is a project that provides an array of capabilities such as advanced data analysis, bias mitigation, sentiment analysis, and more.
The main driver behind this project has been to promote Responsible AI (RAI) practices by providing access to various no-cost AI guardrail solutions for enterprises.
The GuardRail project has been the result of a collaboration between a handful of software industry veterans. These include the CEO of Peripety Labs, Mark Hinkle, CEO of Opaque Systems, Aaron Fulkerson, and serial entrepreneur, Reuven Cohen.
Reuven is also the lead AI developer behind GuardRail. For the project launch, he mentioned:
With this framework, enterprises gain not just oversight and analysis tools, but also the means to integrate advanced functionalities like emotional intelligence and ethical decision-making into their AI systems.
It's about enhancing AI's capabilities while ensuring transparency and accountability, establishing a new benchmark for AI's progressive and responsible evolution.
To let you know more about it, here are some key features of GuardRail:
Automated Content Moderation, for when the content is too inappropriate.
EU AI Act Compliant, this should help tools equipped with GuardRail be on the good side of regulatory compliance.
Bias Mitigation, an ability that will help reduce biases in AI processing and decision-making.
Ethical Decision-Making, to equip AI with ethical guidelines in line with moral and societal values.
Psychological and Behavioral Analysis for evaluating a range of emotions, behaviors, and perspectives.
Sounds like something which ticks the essentials. But, of course, the experts would know better.
No matter the impact of the project, it is a step in the right direction to make AI-powered applications safer in the near future.
Want to try GuardRail?
GuardRail is available from its GitHub repo. You can take advantage of a free test API hosted over at RapidAPI to test GuardRail's features.
Sourav Rudra
