Many respected names and companies from within the technology community have voiced their concerns about the ethical quandaries that go in tandem with the rapid advancements in artificial intelligence, so students at Carnegie Mellon University can take 'Artificial Intelligence for Social Good' to learn about the responsibility inherent in creating AI programming. The class, which has been put together by assistant professor Fei Fang, focuses on creating AI that's as ethically and morally powerful as it is technologically powerful.
Fang herself has developed several AI systems with social good in mind. Her work has included image recognition platforms for spotting poachers in Botswana, picking out illegal mining operations using satellite imagery, and protecting passenger ferries from terrorist operations through the use of speedy, autonomous patrol boats.
Socially Responsible AI Classes
'Artificial Intelligence for Social Good' Teaches Safety in AI
Trend Themes
1. AI Ethics Education - 'Artificial Intelligence for Social Good' highlights the responsibility of AI usage to its creators.
2. Socially Conscious AI Applications - Fei Fang's AI projects offer solutions to real-world issues concerning environmentalism and terrorism.
3. AI Safety Protocols - The implementation of AI systems must prioritize ethical considerations beyond the technological capabilities, as emphasized by 'Artificial Intelligence for Social Good'.
Industry Implications
1. Education - Institutions must offer courses on responsible AI creation and implementation to prepare tech professionals for ethical decision-making.
2. Environmentalism and Conservationism - AI-driven solutions can aid in detecting and preventing illegal and environmentally damaging actions, as demonstrated in Fei Fang's poaching and mining detection systems.
3. National Security and Defense - AI-based surveillance and response systems can proactively prevent terrorist activity, as demonstrated by Fang's autonomous patrol boats.