It’s only nice looking out that window for a little while. Eventually, space gets real boring. Long spaceflights are generally considered safer when operated by AI autopilot systems compared to humans, primarily due to several inherent limitations that humans face when traveling through space for extended durations.
Here are 5 reasons why you should use AI autopilots for long journeys instead of relying on human/capsuleer commanders:
Human bodies are adapted to Earth’s environment. Extended exposure to space conditions can have detrimental effects on your health. Microgravity can lead to muscle and bone loss, cardiovascular deconditioning, immune system weakening, and vision impairments. You don’t want none of that.
These physiological changes increase the risks of various health issues, including fractures, kidney stones, and cardiovascular problems. In contrast, autopilot systems don’t experience these biological limitations and can operate consistently throughout the entire duration of the spaceflight. As long as the ship is all in one piece, the AI can control it.
Mental and Emotional Challenges
Space travel poses significant mental and emotional challenges for humans. Extended periods of isolation, confinement, and limited sensory stimulation can result in psychological distress. Mood changes, decreased cognitive performance, and useless sentimentality are commonly reported symptoms of flying for long periods of time through the unforgiving vacuum of space.
The stress of long-duration space missions can also impact decision-making abilities and increase the potential for human error. Autopilot systems, on the other hand, are not subject to emotional or psychological factors, ensuring consistent and rational decision-making.
Wouldn’t it be nice if you knew you could get to your destination without worrying about the feelings of your navigation officer?
Humans require regular rest, sleep, and proper nutrition to maintain optimal performance. However, on long spaceflights, ensuring adequate sleep and nutrition becomes more challenging due to limited resources and space constraints.
Fatigue and decreased cognitive function can compromise the safety and efficiency of human-operated missions. AI autopilot systems, powered by sophisticated algorithms and continuous processing power, can maintain consistent performance without the need for rest or sustenance.
Wouldn’t you rather just take a nap on the way back to Jita, anyway?
Response Time and Precision
In critical situations, quick and precise decision-making is vital for the safety of a space mission. AI autopilot systems can analyze vast amounts of data in real-time and respond with unparalleled speed and accuracy. Humans, on the other hand, may experience delays in information processing and decision-making due to factors such as fatigue, stress, or distractions. The efficiency and reliability of AI autopilots can enhance overall mission safety by reducing the likelihood of human errors or delays in critical situations. People take longer to do things than they should.
As a person, doesn’t that annoy you?
Intelligence and Learning
AI autopilot systems have the capacity to continuously learn, adapt, and improve their performance based on data analysis and feedback. This enables them to respond effectively to unforeseen circumstances or anomalies during a spaceflight. Humans, although capable of learning and adaptation, may require additional training, experience, or external support to handle unexpected situations, potentially introducing a higher level of risk.
While humans possess unique qualities such as creativity, adaptability, and decision-making skills, in the context of long-duration spaceflights, AI autopilot systems offer distinct advantages in terms of safety, precision, sustained performance, and resilience to the physical and psychological challenges of space travel.
So the next time you’re hauling something through space on a long journey, flip on the autopilot, grab a snack, and relax. We’ll be there in no time!
Do you use autopilot? If so, isn’t it convenient? Let us know in the comments below.