Machine learning can deliver major benefits for organizations looking to scale their operations, especially those who continue to experience disruptions from the COVID-19 pandemic. However, there are plenty of challenges that come along with implementing this type of artificial intelligence. Before organizations jump headfirst, there are four major machine learning questions they should consider. 1) […]
Organizations are increasingly adopting artificial intelligence (AI) standards to mitigate risks associated with the technology, such as its propensity for bias. While developing AI standards is necessary, they also need to be upheld in order to be effective. To do so, organizations can consider establishing a body of experts charged with overseeing AI standards and […]
Unlike human beings, machine learning algorithms are bad at determining what’s known as ‘causal inference,’ the process of understanding the independent, actual effect of a certain phenomenon that is happening within a larger system. For example, a human watching a golfer swing a golf club intuitively understands that the golfer’s arms are causing the club […]
Artificial intelligence systems are quickly proliferating in a number of industrial sectors. However, they carry big risks that are worrying leaders acknowledges a recent report from KPMG, a global network of professional firms providing audit, tax and advisory services. According to the KPMG report titled “Thriving in an AI World,” a large number of leaders […]
When it comes to designing ethical artificial intelligence (AI) systems, developers usually have the best intentions. However, problems often occur when developers fail to follow their intentions, what’s dubbed the “intention-action gap.” To avoid this, a new report from the World Economic Forum and the Markkula Center for Applied Ethics at Santa Clara University, titled […]
A new report from the European Union Agency for Cybersecurity (ENISA) and Joint Research Center (JRC) is illuminating the cyber security issues related to artificial intelligence (AI) systems in autonomous vehicles. It suggests a number of ways manufacturers can reduce the risks. The report, titled “Cybersecurity Challenges in the Uptake of Artificial Intelligence in Autonomous […]
A new type of machine learning known as “liquid learning” can rapidly adapt to changes in its data stream and environment, rather than only learning while it’s being trained. Developed by MIT researchers, the technology represents a potential major breakthrough in artificial intelligence (AI). Liquid learning utilizes algorithms that can transform their underlying equations, which […]
As artificial intelligence (AI) systems are built on larger and larger quantities of data, the potential threat that they can pose to the public also grows. For example, automated systems could equipped with biased algorithms that discriminate against women and minority groups. Additionally, AI-based software, such as facial recognition technology, can jeopardize the privacy of […]
Recently, MIT researchers used machine learning—computer algorithms that automatically learn and get better over time—to predict that a number of COVID-19 vaccines currently in development may not adequately protect people of Black and Asian descent. In a study published in late November, the researchers say their machine learning models predicted the likelihood of vaccines properly […]
Artificial intelligence (AI) is evolving rapidly. According to multinational professional services company, Accenture, businesses spent $306 billion USD on AI applications over the past three years. Despite the advancement of AI, there are currently no specific ethical regulations around the technology—though some governments, including the European Union, are working to establish them. Meanwhile, many organizations […]
