Definition
Autonomous Intelligence is an advanced artificial intelligence that enables machines to make decisions and perform tasks without human intervention or supervision.
Examples of machines that use autonomous intelligence include self-driving cars, smart manufacturing robots, and care robots for the elderly.
Benefits of Autonomous Intelligence
- Increased productivity: Autonomous systems can detect areas that need improvement and forecast events that could improve productivity.
- 24/7 availability: Unlike humans, Autonomous systems can work without breaks.
- No risks or errors: The accuracy of autonomous systems is beyond human comprehension. This eliminates errors and risks.
- No human intervention needed: Autonomous systems do not need human intervention, which allows them to focus on other strategic and creative functions.
Risks of Autonomous Intelligence
- Lack of regulation: AI is a relatively new field, and the scope of its operation is not understood sufficiently. Additionally, very few laws govern security and privacy violations associated with AI.
- Discrimination and prejudice: Some autonomous systems are accused of using data from certain populations compared to others.
- High cost: Autonomous intelligence is expensive and can only be afforded by certain companies.
Autonomous AI’s Important Features
- Physical devices that collect data: Autonomous systems use sensors (microphones, cameras and other small devices) to collect data.
- The data itself: The systems may collect structured and unstructured data. Regardless of the data type collected, autonomous systems can gain important insights from it.
- Algorithms: Autonomous systems use predefined algorithms to parse and analyze data to make decisions and perform tasks autonomously.
Autonomous AI Use Cases
- Healthcare: Autonomous AI is used in healthcare facilities to analyze patient data and produce insights beyond human ability.
- Manufacturing: Manufacturing factories can use autonomous robots to streamline repetitive processes, freeing workers to focus on other activities.
- Customer service: Autonomous systems can use natural language processing to power chatbots that respond to customer queries. They can also give recommendations and offer personalized content.
- Financial services: Autonomous systems can analyze the current and historical financial data to determine the best investment strategies.
- Automotive: Self-driving cars use sensors to collect data about surroundings and locations, then transmit the data to algorithms to make decisions about each vehicle’s action.