AI resources update: 1. Global AI Law and Policy Tracker | 2. Evaluating an AI-generated podcast

This article is part of an ongoing series looking at AI in KM, and KM in AI.

This AI resources update features two useful resources:

1. Global AI Law and Policy Tracker.
2. Evaluating an AI-generated podcast.

1. Global AI Law and Policy Tracker

The IAPP has established the Global AI Law and Policy Tracker which identifies AI legislative and policy developments in a subset of countries across six continents (however, due to the speed and extent of policymaking, the tracker is not able to include all AI initiatives). The tracker also offers brief commentary on the broader AI context and related developments and identifies laws or policies in parallel professions like privacy.

Countries worldwide are designing and implementing AI governance legislation and policies in response to the speed and variety of proliferating AI-powered technologies. Efforts include the development of comprehensive legislation, focused legislation for specific use cases, national AI strategies or policies, and voluntary guidelines and standards.

There is no standard approach toward bringing AI under state regulation, however, common patterns toward reaching the goal of AI regulation can be observed. Given the transformative nature of AI technology, the challenge for jurisdictions is to find a balance between innovation and regulation of risks. Therefore, governance of AI often, if not always, begins with a jurisdiction rolling out a national strategy or ethics policy instead of legislating from the get-go. This pattern is evident throughout the tracker, and one such example was recently critiqued here in RealKM Magazine.

The IAPP is a policy neutral, not-for-profit association founded in 2000 with a mission to define, promote and improve the professions of privacy, AI governance and digital responsibility globally.

2. Evaluating an AI-generated podcast

In a LinkedIn post, Dr Sarah Cummings reports on her experimental use of NotebookLM to see whether it is an effective tool for learning and advocacy.  In her analysis, Sarah explores the positives and negatives of the experience, and puts forward useful lessons that others could learn from. Sarah used NotebookLM to generate a ‘Welcome to the Deep Dive’ podcast about her and Gerrit-Jan van Uffelen’s recent paper¹ advocating for a knowledge agenda for food systems resilience in protracted crisis in the Horn of Africa.

Header image source: Created by Bruce Boyes with Microsoft Designer Image Creator.

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