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Do the Benefits of Artificial Intelligence Outweigh the Risks?

27.11.2022 08:30 AM
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Do the Benefits of Artificial Intelligence Outweigh the Risks?
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Artificial intelligence appears routinely as technology advances and software providers build and integrate artificial intelligence into their products. The world is expected to witness artificial intelligence-driven GDP growth of $15.7 trillion by 2030. Applications of artificial intelligence continue to grow across organizations and industries. With the increase in the benefits of artificial intelligence systems, the risks associated with these tools increase, so what are these risks? Do the benefits of artificial intelligence outweigh the risks? Here are the answers to these questions:

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Do the Benefits of Artificial Intelligence Outweigh the Risks?

Artificial intelligence appears routinely as technology advances and software providers build and integrate artificial intelligence into their products. The world is expected to witness artificial intelligence-driven GDP growth of $15.7 trillion by 2030. Applications of artificial intelligence continue to grow across organizations and industries. With the increase in the benefits of artificial intelligence systems, the risks associated with these tools increase, so what are these risks? Do the benefits of artificial intelligence outweigh the risks? Here are the answers to these questions:

What are the risks of artificial intelligence?

Artificial intelligence has many potential risks. As the capabilities of artificial intelligence expand and spread, the risks associated with it will continue to evolve. Here are the five most pervasive risks of artificial intelligence.

1. Lack of traceability of AI implementation

From a risk management perspective, we often start with an inventory of systems and models that involve AI, and using the risk realm allows us to track, assess, prioritize, and control AI risks.

Unfortunately the growing popularity of the technology in general means that it is increasingly being implemented outside the purview of the formal IT team, and a study by McAfee states that 80% of enterprise employees use uncertified SaaS (Software as a Service) applications at work most often, and they are not This is done maliciously but to increase productivity. Departments may opt for easy-to-buy process-based systems that include an AI component. Other times, a routine system upgrade may bring AI into an application. In either case, AI can be easily introduced without knowledge of risk management and IT.

2. Introducing programmatic bias in decision-making

One of the most devastating risks of AI is introducing bias into its decision-making algorithms. AI systems learn from the set of data on which they are trained. Depending on how this aggregation occurs, there is a possibility that the data set may reflect assumptions or biases, and these biases can then influence on the decision-making process in the system.

 

3. Data sources and violation of personal privacy

With the International Data Corporation predicting that the global data domain will grow from 33 trillion gigabytes in 2018 to 175 gigabytes by 2025, huge amounts of structured and unstructured data are available for companies to mine and process.

Personal privacy will become even more difficult to protect with the spread of artificial intelligence. When data leaks or breaches occur, the resulting repercussions can seriously damage a company's reputation and present potential legal breaches, with many legislatures now passing regulations restricting how personal data is processed.

4. Black box algorithms and lack of transparency

The primary purpose of many AI systems is to make predictions, and as such the algorithms can be so complex that even those who created the algorithm cannot explain how the variables combined together arrive at the resulting prediction, and this lack of transparency is why some reference Algorithms as the “black box” and why regulators are now starting to investigate what checks and balances might need to be put in place for, say, rejecting a bank customer based on an AI prediction about the customer’s creditworthiness, companies run the risk of not being able to explain why.

5. Liability is not clear

Given the potential risks of AI discussed so far, these concerns lead to the question of legal liability. If an AI system is designed with fuzzy algorithms, and machine learning allows decision-making to improve itself, who is legally responsible for the outcome? Is it the company, the programmer, or the system? This risk is not theoretical. In 2018, a self-driving car hit and killed a pedestrian. In this case, the car's human backup driver was not paying attention and was responsible when the AI system failed.

Do the benefits of artificial intelligence outweigh its risks?

The risks of AI are great, but the use and growth of these tools is also inevitable, as the benefits go beyond simple efficiency gains and include a fairer decision-making scenario when algorithms are trained to avoid bias, while increasing our understanding from the perspective of risk management and auditing, where we must look for key advantages In artificial intelligence systems:

AI systems must include clear design documents.

Machine learning should include testing and optimization.

AI control and governance must take priority over algorithms and efficiency.

We all have a responsibility to learn more about AI risks and control those risks, and the topic will not go away, and the risks will continue to grow and change as technology advances and spreads, and organizations that adopt the above three key points will be better equipped to manage the risks AI systems may have Serious legal consequences.

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