Saturday, September 30, 2023

Addressing Algorithmic Bias in AI | Wall Street REITs Reshaping Real Estate | Gun Suicides and State Policies in the US | Affordable 'Never-Ending Cruise'

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Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI - Harvard Business Review   

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side forces. The last of these is particularly underemphasized. The use of AI in a product can change how much customers value it — for example, patients who put less stock in an algorithmic diagnosis — which in turn can affect how that product is used and how those working alongside it are compensated.

From automating mundane tasks to pioneering breakthroughs in healthcare, artificial intelligence is revolutionizing the way we live and work, promising immense potential for productivity gains and innovation. Yet, it has become increasingly apparent that the promises of AI aren’t distributed equally — it risks exacerbating social and economic disparities, particularly across demographic characteristics such as race.

Business and government leaders are being called on to ensure the benefits of AI-driven advancements are accessible to all. Yet it seems that for each passing day there is some new way in which AI creates inequality, resulting in a reactive patchwork of solutions — or often no response at all. If we want to effectively address AI-driven inequality, we will need a proactive, holistic approach.

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