Technological Innovation

By providing access to large volumes of data from within and outside of the organization, blockchain helps AI scale to provide more actionable insights, manage data usage and model sharing, and create a trustworthy and transparent data economy.
Artificial intelligence (AI) is intelligence showed by machines (machine intelligence), in contrast to the natural intelligence displayed by humans, it’s an area of computer science that emphasizes creating intelligent machines that work and react like humans. Business leaders are keen to investigate and test the transformational potential of new technologies to speed up business performance and increase profitability and workforce efficiency.

There are those who believe that AI is a tool that humanity is wielding with increasing recklessness. “We say it’s for our common good with machine learning hype equal to business profits. But what happens when we don’t have the code of ethics, laws, government accountability, corporate transparency, and the capability of monitoring the space to achieve AI regulation?  Artificial intelligence regulation isn’t just complex terrain, its uncharted territory for an age that is passing the baton from human leadership to machine learning emergence, automation, robotic manufacturing and deep learning reliance.”

“To navigate a world of increasing artificial intelligence and machine intelligence intermediaries requires a better system. A system that ensures we harness the opportunities that AI is creating — across all and various areas including transportation, safety, medicine, labor, criminal justice and national security, all the while vigorously confronting ethical challenges including the potential for social bias, the need for transparency, and missteps that could stall AI innovation while exacerbating social problems and speeding up social and economic inequality. Artificial intelligence could be dangerous for capitalism and for democracy itself.”