Mastering Using Artificial Intelligence and Machine Learning in Competition Regulation, Anti-Competitive Practices, Mergers and Acquisitions
Africa 2025 Masterclass Program

4 – 5 November 2025, Le Meridien Hotel, Pointe aux Piments, Mauritius

PROGRAMME OVERVIEW

The emergence of new challenges in competition regulation, including the urgent need to adapt to digital markets, addressing abuse of dominance in ecosystems, and managing the complexity of mergers and acquisitions (M&A), particularly in the digital realm calls for the development of new strategies, tactics and skills. Regulatory frameworks need updating, enforcement capabilities enhanced and the fostering of international cooperation to ensure fair competition in a rapidly evolving global landscape. As artificial intelligence (AI) continues to evolve, competition regulators and legal professionals are grappling with its implications on fair competition, market dominance, and consumer welfare. Pricing algorithms for example, analyze various factors such as market conditions, competitor prices, demand fluctuations, and customer behaviour to automatically adjust prices. The use of such algorithms is not illegal; however, there is a concern that they may facilitate both explicit and tacit collusion between competitors in breach of competition law. An increased use of pricing algorithms is resulting in faster pricing shifts, increased market transparency, and a perfect storm for collusion.


There is thus, no doubt that artificial intelligence (AI) need to be a pillar of the modern day competition regulation and anti-competitive practices to detect even small anomalies. AI enables real-time tracking and analysis of market dynamics.  AI help in identifying unusual pricing patterns and potential price-fixing agreements, process vast amounts of economic and consumer data to assess the potential effects of mergers and acquisitions (M&A), sort, prioritize, and analyze public submissions for actionable leads and may more.

 

AI is undeniably transforming the competition regulatory landscape, offering significant benefits but also posing complex challenges for competition regulators and companies.  This program, the first of its kind in Africa, is about the practical use, adoption and integration of AI tools in competition regulation, anti-competitive practices, M&A, safeguarding consumer welfare and market fairness. The program addresses new competition regulation challenges by offering new regulatory tools and frameworks to ensure that markets remain competitive and fair.

1+
years of experience

Benefits of Attending


After attending this program, delegates will be able to; 
Monitor markets in real-time

Offer scalable oversight of markets

Fast detect, identify collusion and abuse of market power

Efficiently, effectively and better prioritize cases and resource use

Accurately and improve analysis in mergers, acquisitions and economic assessments

Processing vast amounts of economic and consumer data to assess the potential effects of mergers

Use AI tools and ML for merger simulation and scenario analysis

Do data mining to identify historical outcomes of similar mergers

Use predictive modelling to assess whether a merger will reduce competition or harm consumers

Use AI in sorting, prioritizing and analyzing public submissions for actionable leads

Use NLP models to extract meaningful data from written complaints

Use classification algorithms to route cases to appropriate teams based on urgency or type

Build machine learning (ML) models applicable in price collusion, market monitoring and intelligence, etc.

Automate and streamline the processing of legal documents and complaints

 

BOOKS

BOOK - Key Issues in African Diplomacy
Book - Twitter Diplomacy
Book Twitter for Diplomats