Over recent times, the pressure and demand on companies to automize and evolve their services and procedures has increased tenfold. Behind the rise in automization is without a doubt AI, powered by algorithms developed by programmers and machine learning models. Programming and developing via AI practices has become an extremely competitive field due to the high requirements across almost every industry
Anyone can create an algorithm and companies are eager to produce the best they possibly can. There is a lot of competition within different industry sectors and this competition leads to the generation of algorithms on a mass scale. The National Institute of Standards and Technology (NIST) is an existing body that provides assessment and authorization of companies algorithms, acknowledging that the standards of their services are compliant with those of the industry regulations. Certificates of the product being thoroughly tested for accuracy are awarded.
Founded in 1901, NIST was set up to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic prosperity and security, and as a result, improve the quality of life.
Bodies such as NIST function to provide assessment in the following areas:
- Quantum Science
- Artificial intelligence
- Climate
- Communications
- Cybersecurity
- Health & Bioscience
- Infrastructure
- Manufacturing
The following are examples of various certifications provided to AI companies, using Neurotechnology as a case study.
FRVT Certification
Neurotechnology, a company is known for its innovative algorithm creations in an array of AI-related industries received certification for the Facial Recognition Vendor Test (FRVT). In 2022, Neurotechnology’s facial recognition algorithm scored among the top algorithms in both 1:1 verification and 1:N identification. For more information on their FRVT certification click here.
1. PFT:
Proprietary Fingerprint Template (PFT) evaluates the accuracy of algorithms created to determine biometric identification using fingerprints, and is another popular assessment carried out by NIST. Notably, Neurotechnology’s algorithm’s template matching accuracy was among the best participants at the previous PFT II evaluation, and the latest submissions were an extension of the previously recorded data.
2. MINEX:
The Minutiae Interoperability Exchange Test (MINEX) is a fingerprint algorithm evaluation technique and an ongoing extension of the INCITS 378 fingerprint template. Carrying out a MINEX test involves implementing two mandates; to provide measurements of performance and interoperability of core template encoding, in addition to matching capabilities to vendors, users, and any other interested parties.
3. Cybersecurity:
One of the biggest departments of evaluation within NIST is the cybersecurity assessment.
With this comes the added risk of cybersecurity attacks all across the globe so in order for companies to keep any threats at arm’s length and their customer’s sensitive data secure, strong cybersecurity measures must be in place. NIST provides a Cyber Risk Scoring (CRS) so companies are able to annually maintain and improve their cybersecurity measures if necessary.
Governing bodies like NIST are crucial in helping contribute to a better standard and quality of AI-related services, playing a huge role in evaluating and promoting the ongoing improvement of algorithm generation by companies within the U.S. and across the world. Long may it continue as society and the world of technology as we know it continues to advance.
