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The discussion opens with a philosophical inquiry into AI autonomy, referencing Hal 9000 from '2001 a Space Odyssey' and the ethical dilemma of prioritizing a mission over human life. This leads into the practical necessity of fully autonomous systems for future Mars missions. Due to a significant 20-minute communication time lag between Earth and Mars, traditional Mission Control is unfeasible, making self-sufficient systems and astronauts paramount. The Moon is presented as a crucial proving ground for these technologies, offering a more manageable 3-second time lag for testing and refining robust autonomous capabilities before venturing to the more distant Red Planet.
I think our artificial intelligence will be smarter in the future for a Mars mission.
for a Mars mission you know we need fully autonomous systems we will get humans but they have to be fully autonomous and that's a really important that the most important concept because you know there's not going to be a Mission Control on earth you know I'd you know 20-minute time leg there's just no way you're gonna control.
when we get to Mars it's so far away that we need fully autonomous systems so I think that's that's where again AI and autonomy come in really robust autonomy things that we don't have today yet.
they're gonna be designed by humans as you mentioned humans are always in the loop.
what I care about for the autonomy and AI right now how we're applying it and research is to look at earth and look at climate systems.
AI is two eyes on earth all of our space data compiling that using supercomputers because we have so much information and knowledge and we need to get that into people's hands.
we need to change human behavior that's the biggie so this next decade it's urgent we take care of our own spaceship which is spaceship earth.
it's a huge role for artificial intelligence to help us analyze I call it curating the data using the data it has a lot to of visualizations as well.
Related to:
Space Missions Discussed
Ai Applications In Focus
Technological Challenges
Ethical Considerations
Environmental Focus
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