|
|
|
| Future-Oriented Governance:Principles of State Governance in the Era of Artificial Intelligence |
| Mei Lirun |
| School of Marxism,Wuhan University,Wuhan 430072,China |
|
|
|
|
Abstract The principle of state governance is closely related to the achievement of governance goals.In the era of artificial intelligence,a sound state governance needs to follow the following principles.①Principle of agility.The first is to agilely switch the attitude tone of “developing first”and “preventing first”,the second is to adjust the policy boundaries of “key support”and “explicit ban”,and the third is to quickly predict the series of impacts caused by the upgrade of artificial intelligence technology.②Principle of cooperation.The first is human-machine cooperation which not only gives artificial intelligence “specific autonomy”,but also retains the “core control”of human beings.The second is regulatory cooperation which is mainly based on the “state force”,together with the assistance of “industry force”and “social force”and aims to promote artificial intelligence into technologies for social good.The third is capital cooperation which aims at avoiding the development of artificial intelligence from falling into the “cold winter of technology”by maintaining the enthusiasm of private capital.③The principle of equilibrium.The first is to pay attention to the balance between technological empowerment and technological responsibility,the second is to pay attention to the balance between the digital rich and the digital poor,and the third is to promote the balance between technological development and institutional progress.For a ruling and governance collective with a sense of mission,it is essential to establish new governance principles or adjust the existing governance principles according to the specific situation.
|
|
Received: 05 January 2022
|
|
|
|
|
|
[1]庞金友.AI治理:人工智能时代的秩序困境与治理原则[J].人民论坛·学术前沿,2018 (10):6-17.
[2]薛澜,赵静.走向敏捷治理:新兴产业发展与监管模式探究[J].中国行政管理,2019 (8):28-34.
[3]梅立润.人工智能到底存在什么风险:一种类型学的划分[J].吉首大学学报 (社会科学版),2020 (2):119-127.
[4]徐琳,徐超.人工智能时代政治权力的双重面相[J].兰州大学学报 (社会科学版),2020 (1):56-63.
[5]KARL P.The great transformation:the political and economic origins of our time[M].Boston:Beacon Press,2001.
[6]MANNUEL C.The impact of the internet on society:a global perspective[J].Change,2014 (19):127-148.
[7]阿尔文·托夫勒.未来的冲击[M].黄明坚,译.北京:中信出版社,2018.
[8]徐越如.技术魔力的揭秘者:温纳的技术政治哲学研究[J].科学技术与辩证法,2007 (3):74-78.
[9]何哲.人工智能时代的社会转型与行政伦理:机器能否管理人[J].电子政务,2017 (11):2-10.
[10]惊呆:1/4英国人认为机器人能更好地管理政府[EB/OL]. (2017-03-24).http://hi.people.com.cn/n2/2017/0324/c231187-29909918.html.
[11]吴彤.关于人工智能发展与治理的若干哲学思考[J].人民论坛·学术前沿,2018 (10):18-25.
[12] “人工智能”科普直播活动顺利完成[EB/OL]. (2020-08-23).https://www.sohu.com/a/414533382_120233042.
[13]刘俊祥.智能化时代中国政治学学科学术话语的创新[J].学术界,2020 (3):56-65.
[14]乔治·扎卡达基斯.人类的终极命运:从旧石器时代到人工智能的未来[M].陈朝,译.北京:中信出版集团,2017.
[15]郑南宁. “混合增强智能”是人工智能的发展趋向[N].新华日报,2017-11-29 (18).
[16]13位中国最强AI 达人对话Alpha Go投资人[EB/OL]. (2016-06-22).html.https://zhuanlan.zhihu.com/p/21392281.
[17]赵汀阳.人工智能 “革命”的 “近忧”和 “远虑”:一种伦理学和存在论的分析[J].哲学动态,2018 (4):5-12.
[18]STEPHEN H,STUART R,MAX T.Stephen Hawking:transcendence looks at the implications of artificial intelligence-but are we talking AI seriously enough?[EB/OL]. (2014-05-01).http//www.independent.co.uk/news/science/stephen-hawking-transcendence-looks-at-the-implications-of-artificial-intelligence-but-are-we-talking-9313474.html.
[19]欧盟要给人工智能搞价值观了,他们是怎么做的[EB/OL]. (2018-05-11).https://business.sohu.com/20180511/n537399936.shtml.
[20]千万别掉进去！AI 鸿沟的三个 “大坑”[EB/OL]. (2020-07-03).https://xw.qq.com/cmsid/20200703A0P0I800.
[21]韦青.万物重构:智能社会来临前夜的思索[M].北京:新华出版社,2018.
[22]克劳斯·施瓦布.第四次工业革命:转型的力量[M].李菁,译.北京:中信出版社,2016.
[23]尼古拉·尼葛洛庞帝.数字化生存[M].胡泳,译.海口:海南出版社,1997.
[24]唐皇凤.数字利维坦的内在风险与数据治理[J].探索与争鸣,2018 (5):42-45.
[25]王印红.数字治理与政府改革创新[M].北京:新华出版社,2019. |
|
|
|
2022, Vol. 3 
