Artificial Intelligence: The Next Regulatory Frontier

Until recently, Artificial Intelligence (AI) was the domain of science fiction connoisseurs and Silicon Valley tech savants. Now, AI is ubiquitous in our daily lives, with a seemingly endless number of possible applications. As with any new and emerging technology, there are many novel questions and concerns that need to be addressed. Whether it be related to copyright ownership, ethics, cybersecurity obstacles, or discrimination and bias, concerns surrounding AI usage are mounting. AI system regulation has been rapidly increasing worldwide, while the U.S. regulatory landscape has remained relatively sparse. But it won’t be for long.

Safeguarding Your Face: Regulating Facial Recognition Technologies

The use of facial recognition technology in the commercial context generates numerous consumer privacy concerns. As technology becomes increasingly present in many aspects of our life, regulations on states and federal level are struggling to catch up. Currently, only three states (Illinois, Washington, and Texas) implemented biometric privacy laws, and only Illinois grants individuals with a private right of action.

Regulating Artificial Intelligence – Is It Possible?

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.

Regulating the Un-Explainable: The Difficulties in Regulating 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.

Artificial Intelligence and Compliance

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.