“U.S. Citizenship and Immigration Services is focused on automating functions that will help pre-process immigration cases for adjudication, according to CTO Rob Brown.
Natural language processing helps harvest names for adjudicators and flag potential fraud when applicants’ stories don’t align, machine learning (ML) combs biographic and biometric data to identify people with USCIS benefits, and network analytics make connections regarding their relationships and employers, Brown said.
New tools will dissect supporting evidence related to immigration cases, making it easier for adjudicators to make decisions to award people benefits like green cards…”
“Identity proofing like mobile verification and sentiment analysis are proving more challenging, Brown said.
‘We, I feel, need industry experts and assistance in looking at what does this mean from a privacy perspective and abating some of the challenges therein,’ he said. ‘What does this mean from a security perspective?’…”
“Brown also hopes to deal with ML and artificial intelligence ‘sprawl’ by consolidating toolsets and platforms to provide a more robust continuous integration/continuous delivery (CI/CD) pipeline…” Read the full article here.
Source: USCIS automating pre-processing of immigration cases – By Dave Nyczepir, April 15, 2021. FedScoop.