Half-Human, Half-Machine, All Marketing: Managing Algorithmic Limitations

Thu, 24 Mar 2022 00:00:00 -0400
Pulse

When AI-based algorithms were introduced to the marketing world they were an immense game changer: they upped the ante on how brands could target their existing audiences, and they sped up the process of understanding how to build new ones. As machine learning grew exponentially, however, it also lost much of its human touch. Without a balance of human input and safety checks, algorithms can adopt human biases (including hate speech), and cannot adapt fast enough to real-time crises like COVID-19. The resources here discuss how marketers can best work with algorithms to ensure they reach desired targets with efficient, optimized results, and avoid communicating the wrong messages.