Artificial intelligence has the power to change and reinvent society fundamentally. The problem is the ambiguity of whether it benefits us or harms us. That’s why many business leaders have expressed concern as AI continues to evolve.
Even though much of this informatics has been translated into established technology, work on other areas of AI is still ongoing. Here are the AI categories based on what researchers have achieved so far:
- Reactive AI: Systems with this type of AI can get the job done but lack a sense of the past. IBM’s Deep Blue chess computer falls into this category.
- Limited memory AI: Machines using this type of AI can remember the past to a limited extent. This type of AI will be used in self-driving cars.
- Theory of Mind AI: This area of AI is still in the research and development stage, with a focus on building machines that can understand the ideas, emotions, and intentions of other humans and similar computers.
- Self-Aware AI: Still in development, this type of AI allows computers to create mental images of themselves and become conscious of them.
The various functions described above are vastly improved over the simple rule-based automation of decades ago, and computers can now “learn” from vast amounts of data, allowing them to adapt to new inputs. AI-powered systems improve on specific tasks over time.
No wonder AI has great potential. Enterprises can use it for a variety of tasks, including customer support, cyber security, preventive maintenance, rapid processing of large medical data sets, and sensor data analysis.
Promising AI use cases exist in many industries. Sectors that can benefit from AI include national security, manufacturing, healthcare, manufacturing, and agribusiness.
Almost every revolutionary technological advance in human history has been used for both good and bad. AI is not an outlier. AI has a wide range of transformative applications that could improve our current reality, but it also comes with some obvious risks.
In certain circumstances, developing more powerful AI solutions could help mitigate some of the risks AI poses. To get the most out of this promising technology, it’s important to use AI wisely.
For now, some interpret the threat of AI as the shift of some occupations from humans to robots. Yes, robots are being talked about everywhere, but they are also opening new areas of research and unprecedented job opportunities. The risks associated with it remain unproven until proven. Therefore, by far, the opportunities and benefits of AI are far more than avoiding this. Any potential danger can be regulated by technology and established governance models.
About the author:
Kamal Kishor Singh is a technology enthusiast based in Muscat, Oman. He’s currently working as a Projects Delivery Manager for a major digital technology company in the Middle East. He has a keen interest in Blockchain, AI/ML, Automation, and Cloud technologies. With 18 years of experience, Kamal has developed several first-in-the-region digital products for the government, banking, and telecom sectors. He has a keen interest in mentoring fresh talent and thus developing the tech startup ecosystem.
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