Organism, machine, artifact: The conceptual and normative challenges of synthetic biology

被引:10
|
作者
Holm, Sune [1 ]
Powell, Russell [2 ,3 ]
机构
[1] Univ Copenhagen, Dept Media Cognit & Commun, Philosophy Sect, Copenhagen, Denmark
[2] Boston Univ, Dept Philosophy, Boston, MA 02215 USA
[3] Boston Univ, Ctr Philosophy & Hist Sci, Boston, MA 02215 USA
关键词
Artifact; Artificial life; Ethics; Organism; Synthetic biology; Teleology;
D O I
10.1016/j.shpsc.2013.05.009
中图分类号
N09 [自然科学史]; B [哲学、宗教];
学科分类号
01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;
摘要
Synthetic biology is an emerging discipline that aims to apply rational engineering principles in the design and creation of organisms that are exquisitely tailored to human ends. The creation of artificial life raises conceptual, methodological and normative challenges that are ripe for philosophical investigation. This special issue examines the defining concepts and methods of synthetic biology, details the contours of the organism-artifact distinction, situates the products of synthetic biology vis-a-vis this conceptual typology and against historical human manipulation of the living world, and explores the normative implications of these conclusions. In addressing the challenges posed by emerging biotechnologies, new light can be thrown on old problems in the philosophy of biology, such as the nature of the organism, the structure of biological teleology, the utility of engineering metaphors and methods in biological science, and humankind's relationship to nature. (C) 2013 Published by Elsevier Ltd.
引用
收藏
页码:627 / 631
页数:5
相关论文
共 50 条
  • [1] Beyond the Organism versus Machine Dichotomy: A Review of Ethical Concerns in Synthetic Biology
    Paleri, Varsha Aravind
    Hens, Kristien
    ACS SYNTHETIC BIOLOGY, 2023, 13 (01): : 3 - 14
  • [2] Using "the organism" as a conceptual focus in an introductory biology course
    Hoese, WJ
    Nowicki, S
    AMERICAN BIOLOGY TEACHER, 2001, 63 (03): : 176 - 182
  • [3] Biological Interests, Normative Functions, and Synthetic Biology
    Sune Holm
    Philosophy & Technology, 2012, 25 (4) : 525 - 541
  • [4] Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
    Goshisht, Manoj Kumar
    ACS OMEGA, 2024, 9 (09): : 9921 - 9945
  • [5] Control Challenges in Synthetic Biology
    Rao, Christopher V.
    IFAC PAPERSONLINE, 2015, 48 (08): : 996 - 1001
  • [6] Synthetic biology: Challenges, opportunities
    Newman, Jack
    Goldsmith, Neil
    Picataggio, Stephen
    Jarrell, Kevin
    Industrial Biotechnology, 2010, 6 (06) : 321 - 326
  • [7] Synthetic biology: promises and challenges
    Serrano, Luis
    MOLECULAR SYSTEMS BIOLOGY, 2007, 3 (1)
  • [8] Synthetic biology: Challenges ahead
    de Lorenzo, V
    Serrano, L
    Valencia, A
    BIOINFORMATICS, 2006, 22 (02) : 127 - 128
  • [9] Evolution, ecology and the engineered organism: lessons for synthetic biology
    Jeffrey M Skerker
    Julius B Lucks
    Adam P Arkin
    Genome Biology, 10
  • [10] Evolution, ecology and the engineered organism: lessons for synthetic biology
    Skerker, Jeffrey M.
    Lucks, Julius B.
    Arkin, Adam P.
    GENOME BIOLOGY, 2009, 10 (11):