This article highlights three current laws used to govern AI: the GDPR, CODA and DMCA. Each law is shared with a summary of goals, tangible impacts, and a case study of its enforcement. The implications of reappropriating old laws made to govern humans for digital technologies are discussed. Finally, incoming AI- and digitalisation-specific regulations, namely the Online Safety Bill and AI Act, are outlined with their implications and potential use cases.

The AI Liability Directive is a valuable update to existing EU law surrounding liability rules, and paves the way for a more trustworthy approach to the integration of AI into public and private enterprises. The Directive ensures that those harmed by AI systems are not disproportionately affected by the time and expense of litigation. This article reviews the business case for DPIAs, impacts of the Directive and the Need for Granular Digital Risk Assessments.

Women4AI Daring Circle, a working group facilitated by the Women’s Forum for the Economy and Society, focuses on designing Artificial Intelligence (AI) in a way that drives inclusion, both in its development and its application. The group held a seminar with over 70 women discussing how AI can be more inclusive, this piece summarizes the key takeaways.

Dating apps like Tinder, Hinge and Badoo are valued by many internet users for their capacity to expose people to a broader set of potential romantic and sexual partners. Usership of dating apps has increased from 200 million in 2015 to over 300 million in 2021 and revenues have increased from under 2 to over 4 billion in the same period. At EthicsGrade, we’d hope that the growth of the industry would be matched with a maturing framework for a gold standard of ethics and governance.

Since the enforcement of GDPR regulation in 2018, most companies have made progress in reforming their digital governance practices to bring respect for privacy to the fore. Behind all good privacy governance sits a good privacy policy, so why are most companies still missing the mark with privacy policy best practice? A privacy policy needs to be clear, accessible, and easily navigable. This article spotlights two companies getting it right, and one company that needs to do much more.

There are three particularly significant impacts of ChatGPT emerging: on google, employment and schooling. Firstly, a look into Microsoft’s intended incorporation of ChatGPT into Bing as no magic bullet. Secondly, automation of tasks that were previously accomplished by humans and the impact it may have on labor demand. Finally, Educators are raising questions about how they will be able to detect if a student has used ChatGPT to write their assignments.

ESG is finding new applications as a means of informing socially responsible investment decisions. So, what is ESG? Why does it matter for everybody? And how does our coverage of corporate digital responsibility fit into the discussion? This article answers these questions and, in doing so, gives a good sense of why you should be paying attention to the work at EthicsGrade.

The Fourth Annual Athens Roundtable was an attempt to approach democracy from its bedrock: the rule of law, which, in its simplest form, asserts that no one stands above it, no matter the country or community. This piece summarizes the key takeaways and the bottom line from the panel focused on an enforceable EU AI Act.

We must question what stakeholders could be held responsible for both the risk and reward of AI action, without accountability AI use could block moral and legal culpability. Sadly, the responsibility for the risks and rewards of robotics can be misplaced or not placed at all. This piece takes a look at the multiplayer model of artificial intelligence (AI) teams which can lead to distributed responsibility for AI action, allowing AI to be a ‘scapegoat.’

For the last few months, we have worked to develop a machine learning model, which is able to predict the ESG score of some of the world's largest organizations creating a more complete picture of the ESG standings.

Elon Musk’s takeover of Twitter has so far undone much of the progress made by the company towards responsible Machine Learning practice. The wide social push-back may indicate the demand for socially responsible platforms. In contrast to Musk’s radical approach to organisational reform, we at EthicsGrade believe that substantial improvements (in ESG) are often best achieved through building upon the work of existing teams.