Artificial intelligence (AI) has been a much-debated topic over the past decades due to its rapid development. The hype around artificial intelligence (AI) involves a key part of computer science and can be understood as computers that display human-like behavior based on data collected and stored historically, enabling them to recognise and use patterns in their responses.
As AI grows in use and becomes increasingly synonymous with the working landscape, the perception of the technology, and therefore the industry, as an impenetrable field is being greatly undermined. The key players required in AI are not academic researchers taking a custodial role, but individuals from all walks of life with differing perspectives. They are greatly needed to support technology’s growing role in all fields.
On top of proactively seeking graduates with minimal experience, the AI industry has now reached a point where it is looking to bring in expertise from non-scientific or non-IT backgrounds in order to engage with and drive the technology forward.
One particular example of this is augmented intelligence, where individuals with various skill sets are used to complement the technology. People with a background in analytics are highly valuable for ML translation roles, as they are able to make sense of the algorithm’s patterns within a business context. Similarly, individuals with communications expertise provide a great counterpart to AI cybersecurity technology. With AI systems now thoroughly adept at automating threat analysis, the technology is less capable of communicating the severity and risk of the security incident throughout an organization.
Hence, artificial intelligence is not full of dark magic and clearly people have misunderstood its concept.
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