Introduction: Brief Analyses of the methods & implementations of ISRO & SpaceX in terms of AI in space.
Abstract
The study aims at understanding of certain limitations faced by us as humans with placing & utilization of AI in terms of Space exploration, research &/or other such projects & the laws concerned therein.
Methodology
A doctrinal methodology is adhered to.
Subject Matter
AI has wide ranging applications in space industry and is often utilised for a variety of purposes such as space debris monitoring, making automated decisions like that of the Mars rover, weather surveillance etc. It has been frequently used in space as it is a service-based industry.
Currently AI is used in space activities in two ways -
1. Autonomous Space Objects: These are autonomous bodies, robots, satellite construction and etc. that not only analyses data but also conduct activities that would not be possible for humans such as collecting data, probes, preserving space assets, Active Debris Removal (ADR)
2. Analysis of the data collected such as conducting a predictive analysis from very high satellite imagery, geospatial analysis, debris monitoring, these large datasets can also be stored via space cloud computing i.e., where data is stored on space-based assets.
The primary concerns when it comes to AI in space are privacy issues such as citizen tracking, fake imagery, biased automatic decision making etc. And liability issues such as damages caused by autonomous spacecrafts for e.g., collisions, malware etc. These concerns have been exacerbated and the confidentiality of the information that has been given is now on the minds of the people.