Summarize the following text:
Summarize the following text: 
A Short Introduction to the Ethics of Artificial Intelligence NAME_1. NAME_2 NAME_3 I.I. Overview Artificial intelligence (AI) is progressing rapidly. AI can now recognize objects in images and videos; transcribe speech; translate between languages; beat humans at Jeopardy, 1 at Go,2 and at poker;3 paint in the style of van Gogh;4 write Beatles-like music;5 help prepare legal documents; trade stocks; drive cars; fly drones; write its own encryption language;6 identify cancer in tissues; 7 and solve the quantum state of many particles at once.8 In the coming years, it is expected that AI will reach and exceed human performance on many more, and increasingly complex, tasks. As AI technologies continue to advance, questions about the ethics of AI become more pressing than ever. Complex ethical issues surround current and near-future AI systems. For instance, leading technology companies are building self-driving cars, which promise to increase personal mobility for elderly and disabled people and to save lives by reducing driver error; however, in an emergency, should a self-driving car prioritize the lives of the passengers or the lives of pedestrians?9 Many countries are developing autonomous weapon systems capable of identifying and attacking a target without human intervention. Autonomous weapon systems offer the potential to decrease risks to military personnel and civilians by being better than stressed-out soldiers in the heat of a battle at distinguishing civilians from combatants and at making reasonable trade-offs between military gains and risk or harm to civilians. But should we as a society give machines this kind of moral decision-making power? Who is at fault if an autonomous weapon system attacks a hospital or a school? Does the exercise of deadly force always require "meaningful human control" to be legitimate? 10 AI has been found to be particularly useful for revealing otherwise unrecognizable patterns in complex processes. As a result, police departments are investigating ways to use AI to identify likely criminals among the general population. 11 Likewise, some judges and prison officials are interested in using AI to develop "risk prediction" tools to assist with decisions on criminal sentencing, bail hearings, and parole. 12 However, among other things, machine learning requires good data because incomplete or unrepresentative data can exacerbate problems of bias. 13 At the same time, advanced AI systems tend to process large volumes of data Provide two versions of response separated with exactly 6 asterisk symbols: ******.
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