Artificial intelligence is all around us. Whether it exists in your iPhone as “Siri” or in complex machines that are detecting diabetic retinopathy, it is constantly growing and becoming a regular part of the modern day. As with any new technology, regulation surrounding artificial intelligence is becoming increasingly problematic. The question facing us now is how do we encourage further development without accidentally hindering its growth? Recently, the Food and Drug Administration has attempted to take steps toward further regulation of artificial intelligence by introducing a review process for medical artificial intelligence. This is just one instance of how regulation may affect the evolution of artificial intelligence.
From Siri to Alexa, to deep learning algorithms, artificial intelligence (AI) has now become commonplace in most peoples’ lives. In a business context, AI has become an indispensable tool for businesses to utilize in accomplishing their goals. Due to the complexity of the algorithms required to make quick and complex decisions, a “black box problem” has emerged for those who utilize these increasingly more elaborate forms of AI. The “black box” simply refers to the level of opacity that shrouds the AI decision-making process. While no current regulation explicitly bans or restricts the use of AI in decision making processes, many tech experts argue that the black box of AI needs to be opened in order to deconstruct not only the technically intricate decision-making capabilities of AI, but the possible compliance-related problems this type of technology may cause.
With the rise of the machine at our doorsteps, companies (those with foresight, anyhow) will be finding more innovative ways to gain the edge while using those machines. One of the ways companies will seek this edge is through the use of Artificial Intelligence (“AI”). AI is one of the hottest, and arguably controversial, topics confronting mainstream business today. Many are skeptical of it, but also hopeful, despite the controversy surrounding the field. While both sides of the controversy have their reasons, some on each side are generally clueless as to how AI is manifesting itself today, and how it will in the future. How will it be applied? What is it useful for? What follows is a primer on current applications of AI and how they may be applied to the compliance world.