Embracing and integrating Artificial Intelligence (AI) is a challenge for any organization, but for large companies the culture change required to implement AI is often daunting. What some organizations may view as an essential means of remaining competitive, streamlining production processes, and cutting costs, others may view as part of a larger organizational transformation process, meant to reinvent a company. Some, of course, view it as both. There are as many potential permutations associated with embracing AI in the manufacturing process as there are potential applications for doing so.
The cyber era heralded unparalleled opportunities for the advancement of science, technology and communication, and unleashed a range of new attack vectors for rogue elements, criminals and virtual terrorists. The era of machine learning is doing much the same, for the promise of advancement has gone hand in hand with a range of new perils and an expanded set of actors capable of carrying out attacks using artificial intelligence (AI) and machine learning systems. This flows naturally from the efficiency, scalability and ease of diffusion of AI systems, which can increase the number of actors who can carry out attacks against civilian, business and military targets.
There are a number of potential applications for using AI in the legal domain, especially for those that relate to the automation of repetitive and routine tasks. Conducting legal research can be tedious, monotonous and time-consuming, but performing timely and comprehensive legal research is critically important for lawyers. AI systems certainly aid lawyers by performing legal research on relevant case law and applicable statutes faster and more thoroughly than most lawyers may be able to do on their own. Such systems are proving powerful enough to use data to predict the outcome of litigation and enable lawyers to provide more impactful advice to their clients in connection with dispute resolution issues.
In 2016, some Google employees shared a video that was both inspiring and unsettling. In the nine-minute film dubbed “The Selfish Ledger,” a narrator calmly, compelling presents the idea that a ledger of data generated by human users could be used to achieve a larger societal goal.
“What if we focused on creating a richer ledger by introducing more sources of information?” the narrator posits. “What if we thought of ourselves not as the owners of this information, but as transient carriers, or caretakers?”
Artificial intelligence (AI) is increasingly becoming more important as financial institutions adapt the technology in order to digitise, and keep up with competition; however digital transformation is seldom an easy task especially when proper measures are not taken to safeguard against the threat of cyber criminals
The world’s intelligence agencies and militaries are, not surprisingly, the furthest ahead in developing artificial intelligence (AI) – spending vast sums of money attempting to better understand how and why intelligent machines end up operating the way they do. In spite (or perhaps, because of) the dramatic progress that is being made by integrating AI into the realm of government, and the degree to which AI is having an impact on such a broad range of industries and sectors, some practitioners and thought leaders worry about its future implications.
As Artificial Intelligence continues to evolve, it is having profound impact on a range of sectors seemingly unrelated to it, such as international relations. Some countries are pursuing AI more or less within the confines of international law and generally accepted principles of doing business, while others are choosing to do what is necessary to attempt to achieve AI supremacy outside those boundaries. In the process, AI is slowly altering the balance of power between global actors and among alliances in a number of ways.