Addressing bias in artificial intelligence - BNP Paribas Asset Management

Artificial intelligence (AI) has great potential, but care needs to be taken to ensure it doesn’t continue to propagate inherent biases that exist in society and hamper the achievement of diversity and inclusion goals.

Only members with restricted access (ie. academics, asset owners, government and regulatory, independent advisers/trustees and sponsoring employers) can view this article. Please login or join to view.

... AI is a mega-theme that can create significant value across business sectors. It could contribute up to USD 15.7 trillion to the global economy in 2030 – USD 6.6 trillion from increased productivity and USD 9.1 trillion from consumption effects.

While the technology holds tremendous potential, it has a problem with impartiality. If not tackled, this could continue to hinder efforts to enhance diversity, equity and inclusion.

At its core, AI algorithms train on specific datasets and find solutions for real-world problems. As society and organisations increasingly adopt algorithmic decision-making, BNP Paribas Asset Management say we must be cognizant of the harm that could arise from algorithmic bias.

Learn more here