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?”
The first half of the book tackles AI as it pertains to commerce. There are chapters on globalization, manufacturing, finance, the sciences and communication. Each talks about how AI is disrupting the sector and the jobs attached to said sector, then broaches plausible future scenarios (and problems). Comfortingly, the authors tend to relay a message of AI complementing, not eliminating, workers for the foreseeable future. There are examples given of lawyers using software to sift through paperwork and robots handling some of the most tedious and dangerous parts of factory work, under the supervision of humans.
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.
While the debate about Artificial Intelligence (AI) and augmented reality rages, virtual terrorists—those who operate primarily on the Dark Web—are getting smarter and thinking of new ways to benefit from both, creating methods to operate autonomously in this brave new world. Malware is being designed with adaptive, success-based learning to improve the accuracy and efficacy of cyberattacks. The coming generation of malware will be situation-aware, meaning that it will understand the environment it is in and make calculated decisions about what to do next, behaving like a human attacker: performing reconnaissance, identifying targets, choosing methods of attack, and intelligently evading detection.
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.
Only a handful of countries and companies have any real hope of winning the race for AI supremacy. China, Germany, Japan, Russia, South Korea, and the US are among the national contenders and primarily Chinese and American companies lead the pack of commercial contenders, including Alibaba, Baidu, Tencent, Amazon, Facebook, and Google. What distinguishes all of them is the resources they have already devoted and the achievements they have already made in the AI arena. They are poised to leap further and further ahead of those who are lagging behind or have not yet even entered the race.