Artificial intelligence (AI)

Artificial intelligence (AI) is truly a revolutionary feat of computer science, set to become a core component of all modern software over the coming years and decades. This could be a threat but also an opportunity to modern life . AI will be deployed to augment both defensive and offensive cyber operations. Additionally, new means of cyber attack will be invented to take advantage of the particular weaknesses of AI technology. Finally, the importance of data will be amplified by AI’s appetite for large amounts of training data, redefining how we must think about data protection. Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.

In general terms, AI refers to computational tools that are able to substitute for human intelligence in the performance of certain tasks. This technology is currently advancing at a breakneck pace, much like the exponential growth experienced by database technology in the late twentieth century. Databases have grown to become the core infrastructure that drives enterprise-level software. Similarly, most of the new value-added from software over the coming decades is expected to be driven, at least in part, by AI.

Within the last decade, databases have evolved significantly in order to handle the new phenomenon dubbed “big data.” This refers to the unprecedented size and global scale of modern data sets, largely gathered from the computer systems that have come to mediate nearly every aspect of daily life. For instance, YouTube receives over 400 hours of video content each minute

Big data and AI have a special relationship. Recent breakthroughs in AI development stem mostly from “machine learning.” Instead of dictating a static set of directions for an AI to follow, this technique trains AI by using large data sets. For example, AI chatbots can be trained on data sets containing text recordings of human conversation collected from messenger apps to learn how to understand what humans say, and to come up with appropriate responses One could say that big data is the raw material that fuels AI algorithms and models.

The main constraint on innovation is no longer the difficulty in recording and storing information, but the finding of useful insights among the sheer abundance of data now being collected. AI can notice patterns in mammoth data sets that are beyond the ability of human perception to detect. In this way, the adoption of AI technology can make even mundane and seemingly trivial data valuable. For instance, researchers have trained computer models to identify an individual’s

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