As organizations implement AI in the workplace, ensuring the highest ethical standards, this new article from HBR offers valuable insights. It addresses the challenges of establishing AI ethics programs in diverse cultural contexts and highlights the importance of a global AI ethics model that takes these differences into account. The article argues that many organizations overlook cultural differences in ethical considerations, leading to ineffective AI ethics policies. It highlights that Western perspectives often dominate emerging global ethical standards for AI, which can lead to biases that do not adequately represent diverse populations. To address this, The article describes three key steps for developing a contextual AI ethics policy: 1) establish global guiding principles, 2) the establishment of competent regional teams, and 3) foster ongoing dialogue between global leaders and regional teams to adapt policies to local contexts. He cites Hewlett Packard Enterprise (HPE) as an example, where the company successfully implemented a global AI ethics model by involving local teams and creating automated processes for ongoing engagement. HPE’s compliance team created a matrix of principles that considered both global guidelines and region-specific regulations, enabling the company to effectively manage the complexities of AI ethics across its global operations. Other ideas are discussed.
How Businesses Can Take a Comprehensive Approach to AI Ethics | Harvard Business Review
