You encounter artificial intelligence (AI) in some way or the other every day. From using your smartphone to watching another recommended movie, AI has quickly made its way into our everyday lives. With artificial intelligence embedded into our lives at lightspeed, we now need to understand the rules and ethics surrounding it more than ever. Due to a lack of data management and robust security, companies are left to deal with unprecedented cyberattacks. This article by Mark Stanford at Help Net Security signifies why artificial intelligence may not be entirely reliable.
Artificial Intelligence and Its Limitations
While AI may be doing well with intellectual games, it has clear limitations in numerous automation processes like self-driving cars, healthcare, etc. So, it is best if all hopes are not limited to artificial intelligence turning into a problem-solving box. Many companies that collect confidential information or biometric tracking and tracing data do not completely understand how to use or protect the data they collect. These companies possess vast amounts of personal biodata without a clear understanding of what to do with it or protect it.
Artificial Intelligence is Statistical Analysis
Artificial intelligence (AI) is simply statistical analysis on a massive scale. In other words, AI needs to analyze large chunks of data, identify patterns, and create models to make decisions.
Limitations of AI
The absence of historical data, inadequate details in incident reports, and insufficient data to train with makes cybersecurity challenging. There are umpteen unknown vulnerabilities that bad actors will use to exploit any system. Furthermore, you must spend time monitoring and refining AI before achieving meaningful results.
Combining AI and Human Expertise
Having humans and AI work in tandem will allow them to make most of their strengths. While AI can perform repetitive tasks and spot data anomalies, humans can differentiate and attend to important issues.
The Human Brain vs. AI
AI requires an exceptional amount of analytics to make decisions. However, the human brain can make choices much faster. For instance, an AI-powered self-drive car requires human assistance, whereas humans can make all those decisions related to speed, lane changing, deviation, etc., parallelly while driving.
The author further emphasizes combining artificial intelligence and humans for optimal business results.
To read the original article, click on https://www.helpnetsecurity.com/2022/01/28/ai-solve-problems/