Article | Innovation
Fact or fiction: The bias in AI
May 16, 2023 · Authored by Rainer Nsenki and Marty Ordinans
The promise and problem
The existential promise of artificial intelligence (AI) has fascinated us from the early days of computing, when the internet emerged as a unifying force, setting the stage for the imminent AI revolution. As a convergence of cutting-edge technologies in machine learning, data analytics, computing power and high-speed connectivity, AI has the potential to revolutionize every facet of our personal and professional lives, from healthcare and education to finance and beyond. However, alongside this promise and power, comes challenge and responsibility, particularly the issue of bias, which can influence the outcomes of AI systems and perpetuate existing societal flaws. In this article, we will explore the intricate interplay between reality and fiction in AI, uncovering how bias can manifest in AI systems from their very inception and how the blurring of lines between truth and falsehood can uncover potential opportunities for future work.
The emergence of OpenAI's ChatGPT and its introduction of Artificial Narrow Intelligence (ANI) [1] to the mainstream in November 2022, along with its remarkable progress and impact in recent months, has further cemented the role of ANI as a driving force for business and societal advancement. Numerous reports are regularly published, showcasing diverse use cases that highlight the utility of ANI, prompting industry leaders to integrate ANI into their business models to gain a competitive edge. Nevertheless, it is crucial to objectively acknowledge that ANI possesses unique characteristics that make it susceptible to bias.
Mental exercise
Let's engage in a brief exercise. Take a moment to close your eyes and immerse yourself in the experience of driving your dream car. Hold that image in your mind for a moment, and now open your eyes. Let's quickly recap: What make and model was the car? How fast were you going? What color was it? Did you imagine a sunny day? Were you cruising along the picturesque Pacific Coast Highway or navigating a serene rural road in Kansas? It's fascinating to note that the answers to these questions may vary greatly from person to person, influenced by our internal biases. Similarly, it's crucial to acknowledge that ANI also possesses inherent biases. However, unlike human biases, these biases have the potential to become entrenched societal norms, spreading as supposed facts rather than editorial data points.
