What can economics contribute to abuse of dominance investigations?

Any investigation by competition authorities of an alleged case of abuse of dominance by firms with substantial market power will be informed, at least in some part, by economics. OECD’s Richard May explores the role economics plays in competition enforcement and highlights some of the complexities and options relating to its effective use in the run-up to the 2021 Global Forum on Competition.

How can AI enhance market supervision and integrity?

Digital technologies and data – including Artificial Intelligence (AI) – hold the potential to automate and thus improve the efficiency and effectiveness of regulatory, supervisory and enforcement activities, which have become increasingly complex in recent years. Looking at the most common uses of supervisory technology (SupTech) by competition authorities, securities regulators and anti-corruption agencies to date, the OECD’s Emeline Denis identifies associated benefits, risks and challenges, and outlines considerations for devising adequate SupTech strategies across policy areas

In the fight against deforestation, companies can turn to due diligence tools

Behind every deforestation struggle is a global supply chain. The demand for commodities in one place can lead to the loss of forest in another, particularly when forest area is converted to other land uses such as agricultural production. This column looks at how the OECD Guidelines for Multinational Enterprises and related due diligence guidance can help companies understand how they can help address biodiversity challenges, amongst other environmental risks, in their business operations, supply chains and relationships.

How can AI innovators prepare for human rights due diligence legislation?

The rapidly increasing use of Artificial Intelligence (AI) is accompanied by a number of potential risks related to human rights. Focusing on relevant areas such as the right to privacy, non-discrimination, fair trials and freedom of expression, the OECD’s Rashad Abelson looks at how OECD guidance can be applied to AI systems throughout their lifecycle and provide a framework for considering these issues holistically.