FLI Position Paper on AI Liability

whitePaper | December 15, 2019

The debate between experts over how automation will affect the future of work has been one of the most active cottage industries in labor economics in recent years. Numerous scholars forecast major disruptions of human work; others minimize those impacts. And yet, the field has nevertheless managed to generate a number of shared insights, with none more consistent than the finding that least welloff will suffer automation’s greatest shocks on the labor market.

whitePaper | July 20, 2022

The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.

whitePaper | January 15, 2022

An API is a set of routines, protocols and tools for building software applications. They are typically used to expose data or services that can be consumed by other applications. Depending on their purpose, APIs can be used internally, with partners or made available to the general public. This may not sound like something the average consumer cares about, but behind every mobile app and every modern online experience there is at least one API.

whitePaper | January 18, 2020

As organizations adopt digital transformation strategies to prepare for the future, a core idea for how to accelerate that transformation is the adoption of AI. While most organizations fundamentally believe in the promise of AI, they are still only just beginning to use it. Only 1 in 5.5 organizations are deeply committed to AI, while more than half are experimenting or beginning to see it around their organization.

whitePaper | August 11, 2020

Authentication technologies are front-burner tools to protect your network from COVID-19 pandemic email vulnerabilities. With attackers focusing on your users, common sense and technology go a long way. Scott Mace reports.Without letup the cyberattacks keep coming but they are not necessarily aimed at your network’s protocols or software vulnerabilities — at least, not at first. Instead, they maneuver themselves into part of your corporation’s most vulnerable infrastructure and manipulate your employees to fall for some email message that is not what it appears to be.