INTRODUCTION TO AI
In the realm of data analytics and Artificial Intelligence (AI), the insights of Hans Moravec are becoming increasingly important. AI is like a rising tide, steadily gaining strength and challenging more and more capabilities.
What’s fascinating is that AI has the potential to disrupt a wide range of employment, regardless of whether we traditionally categorise them as “white-collar” (like consulting, accounting, or medical professions) or “blue-collar” (like transportation and logistics). Consider, for instance, jobs in the transportation sector, such as delivery and truck driving. These roles are facing a real threat as self-driving vehicles become more common.
Top professional jobs like investment banking are not immune to AI’s influence. This shift underscores the fact that AI’s impact transcends traditional job boundaries.
The major point is that AI should enhance not replace human capabilities, there will be some jobs that change, new jobs that appear and there will still need to be a ‘human in the loop’. Its real strength lies in collaboration with human expertise. Despite the recent strides in AI, the most successful outcomes occur when AI and humans work hand in hand, with ample research and real-world evidence supporting this concept.
So, as we delve deeper into AI, remember that its purpose is to enhance human capabilities, not replace them. It’s about humans and AI joining forces to make things better and more efficient, leading us towards a future of collective progress. Throughout this blog series, we’ll shed light on five and a half essential considerations for successful AI adoption, so keep checking back for further instalments.
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