Big Tech is Likely to Set AI Policy in the U.S. We Can’t Let That Happen

In this contributed article, Dr. Anna Becker, CEO and cofounder of, discusses explains why President Biden’s recent executive order and approach to regulating Artificial Intelligence puts American innovation at risk, by likely favoring the views and interests of large established tech companies rather than startups.

Generative AI Highlights the Need for Identity Verification

In this contributed article, Mark Lieberwitz, Co-Founder & CPO of KarmaCheck, takes a look at how verified identities help restore trust in digital content, combat the erosion of trust caused by generative AI, and prevent the dissemination of false narratives. Implementing identity verification must be accompanied by robust privacy measures and industry-wide collaboration to protect user data and establish consistent standards.

ChatGPT, Crime & the Impact on Law Enforcement

Our friends over at Cognyte recently released a report about ChatGPT, crime and the impact on law enforcement authorities: “ChatGPT and Crime – What Law Enforcement Needs to Know about Large Language Models.” Hundreds of millions of users around the world are using AI bots, such as ChatGPT, which are powered by Large Language Model (LLMs). This rapidly evolving technology has the potential to allow criminals and bad actors to easily scale up cyber-crime, financial crime, human trafficking, disinformation and other illicit activities.

The White House Meets with 7 Big Tech Companies – Releases Commitments on Managing AI

The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today’s meeting can be found here. Seven companies — Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection — convened at the White House today to announce the voluntary agreements.

USGIF Releases New White Paper: The Evolving Role of Synthetic Data in GEOINT Tradecraft 

Recent advancements in AI have created many opportunities in the GEOINT field, not only by improving imagery analysis techniques, but also by creating synthetic training data for AI algorithms to work more efficiently and accurately. Prior to the innovation of synthetic training data, human inputs would be needed for training AI algorithms.

AI Hiring Experts on President Biden’s AI Bill of Rights

A recent interdisciplinary study from NYU Tandon researchers explores the issue of accountable AI. The study reveals how resume format, LinkedIn URLs and other unexpected factors can influence AI personality prediction and affect hiring.

China’s Plan To Be The AI Leader Makes Headway; Can The U.S. Thwart That Plan?

In this contributed article, Erika Twani, Co-founder and CEO of Learning One to One, discusses the global AI industry and how China’s plan to be the AI leader is making headway; and also how the U.S. can thwart that plan.

New Report on the Data Divide

Our friends over at the Center for Data Innovation just released a new report on why the United States must address the data divide, which is the social and economic inequalities that may result from a lack of collection or use of data about individuals or communities. Gillian Diebold, the policy analyst who wrote the report, is CDI’s expert on the data divide,

Using Basic Data to Improve Public Services

In this contributed article, Prahlad Koti, a Partner at Netcompany, examines exactly what we mean when we talk about basic data, and how its digitization can assist the public and private sector. The digitization of public services is at the very top of government agendas across Europe, but the lack of accessible and reliable data, such as core information about individuals and businesses, creates challenges for digital administration.

insideBIGDATA Guide to Government – Part 3

This white paper from Dell Technologies and AMD examines big data analytics projects in government and recommends 15 lessons government agencies can learn. Big data is big business, particularly in the government sector. According to market researchers at IDC, worldwide spending on big data and business analytics solutions grew 10.1% in 2021 to total an estimated $215.7 billion. And a lot of that spending came from the public sector as the government was among the top six industries for overall expenditures related to big data analytics.