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 presents a threat but also an opportunity. 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.
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 presents a threat but also an opportunity. 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.
AI and Big Data
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 (Brouwer 2015).
For instance, researchers have trained computer models to identify an individual’s personality traits more accurately than their friends based exclusively on what Facebook posts they had liked.
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 (Pandey 2018). 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 personality traits more accurately than their friends can, based exclusively on what Facebook posts the individual had liked (Wu, Kosinski and Stillwell 2015).
How AI Could Empower Any Business | Andrew Ng | TED
Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity. Learn how we could build a richer society – all with just a few self-provided data points.
The Power of Artificial Intelligence | John Lennox
Mathematician and bioethicist Dr. John Lennox explains what artificial intelligence is, differentiating between ‘narrow’ AI and ‘general’ AI, and walking through common examples in use today. He stresses that AI is being used for good in fields such as medicine, however, this powerful tool has the potential for misuse.
MOST SHOCKING INTERVIEW With AI!
The rate of improvement of AI excites and worries us. Should we be developing a technology that may ultimately make us extinct? With the AI only focusing on its original purpose and finding new ways to effectively achieve it. The question is how dangerous it could be to humanity. While we cannot deny the merits of AI, Our great scientists have progressed rapidly, from inventing Apple’s SIRI to Tesla’s Self-driven cars. Artificial Intelligence has come a long way. Artificial Intelligence is termed as Narrow AI today, with its limited abilities. However, our scientists have a great vision. They are yet to come up with General AI. Narrow AI, with its limitations, might still outperform humans at any task; however, with General AI, it is sure to beat humans at any cognitive task. #ElonMusk concerns are much larger than hack threats. He isn’t vacillating on his concerns about #AI #interview he thinks it’s dangerous and requires regulation.