Technological disruptions are redefining the era of rapid business transformation and changing the future of work, management, the implications for organizations and how they can navigate to the next horizon. Artificial intelligence is one of the most disruptive technologies fueling this radical transformation. AI is replacing the nature, scope and scale of work and forcing enterprises to revise traditional business models in order to stay competitive. As AI impacts businesses of all shapes and sizes across all industries, there is no reason to believe that leadership will be spared from the influence of AI. In fact, I believe it is very likely that AI will supplement many aspects of leadership, including responsibilities related to the processing of facts and information.

The Benzinga Global Fintech Awards are out, with IBD winning Best Investment Research Company and Bill O'Neil (shown here in 2014) earning a Lifetime Achievement Award.

Mozilla, the nonprofit behind the free and open-source Firefox web browser, is partnering with Montreal-based artificial intelligence startup Element AI to push for ethical use of AI. To that effect, the two companies are exploring the idea of data trusts, a proposed data collection approach that aims to provide individuals with greater control over their personal information. The aim, the companies said, is to offer an alternative model to the current broken consent-based system of data collection such as the EU GDPR regulations. It's easy to see why. As artificial intelligence and machine learning (ML) continues to infiltrate different aspects of our day-to-day lives, the technology is now doing more than ever -- for both good and bad.

Mozilla, the nonprofit behind the free and open-source Firefox web browser, is partnering with Montreal-based artificial intelligence startup Element AI to push for ethical use of AI. To that effect, the two companies are exploring the idea of data trusts, a proposed data collection approach that aims to provide individuals with greater control over their personal information. The aim, the companies said, is to offer an alternative model to our current broken consent-based system of data collection such as the EU GDPR laws. It's easy to see why. As artificial intelligence and machine learning (ML) continues to infiltrate different aspects of our day-to-day lives, the technology is now doing more than ever -- for both good and bad.

Take it from Gov. Jared Polis, a veteran of the tech startup scene introduced as Colorado's "innovator in chief" Wednesday at a Denver Startup Week panel on the evolution of technology and its impact on everyday life. "I was just at Amazon's new facility in Thornton," Polis said. "Inside, where we used to see human-operated forklifts they have little intelligent robots that are carrying the crates around." The question now, Polis said, is how will public policy take shape around that AI technology so that it supports innovation but keeps human beings relevant in the economy going forward? Polis sat opposite Nolan Bushnell during the session.

Artificial intelligence (AI) and emerging technologies (ET) are poised to transform modern society in profound ways. As with electricity in the last century, AI is an enabling technology that will animate everyday products and communications, endowing everything from cars to cameras with the ability to interact with the world around them, and with each other. These developments are just the beginning, and as AI/ET matures, it will have sweeping impacts on our work, security, politics, and very lives.1 These technologies are already impacting the world around us, as Darrell West and I wrote in our April 2018 piece "How artificial intelligence is transforming the world," and I highly recommend that anyone just discovering the topic of AI policy read it thoroughly. There, Darrell and I describe several important implications related to AI/ET, but chief among them is that these technology developments are on the cusp of ushering in a true revolution in human affairs at an increasingly fast pace. As AI continues to influence and shape existing industries and allows new ones to take root, its macro-level impact, particularly in the realm of economics, will become more and more apparent.