Toward an Understanding of Responsible Artificial Intelligence Practices

Artificial Intelligence (AI) is influencing all aspects of human and business activities nowadays. Although potential benefits emerged from AI technologies have been widely discussed in many current literature, there is an urgently need to understand how AI can be designed to operate responsibly and act in a manner meeting stakeholders’ expectations and applicable regulations. We seek to fill the gap by exploring the practices of responsible AI and identifying the potential benefits when implementing responsible AI practices. In this study, 10 responsible AI cases were selected from different industries to better understand the use of responsible AI in practices. Four responsible AI practices are identified, including governance, ethically design solutions, risk control and training and education and five strategies for firms who are considering to adopt responsible AI practices are recommended.

[1]  Jim Tørresen,et al.  A Review of Future and Ethical Perspectives of Robotics and AI , 2018, Front. Robot. AI.

[2]  C. Lohrmann,et al.  Sustainability in a Digital World , 2017 .

[3]  Shuili Du,et al.  Consumer reactions to corporate social responsibility: The role of CSR domains , 2019, Journal of Business Research.

[4]  Viet T. Dao,et al.  From green to sustainability: Information Technology and an integrated sustainability framework , 2011, J. Strateg. Inf. Syst..

[5]  Kelly D. Martin,et al.  The role of data privacy in marketing , 2016, Journal of the Academy of Marketing Science.

[6]  C. Nieto,et al.  CSR Strategy in Technology Companies: Its Influence on Performance, Competitiveness and Sustainability , 2017 .

[7]  Scott Robbins,et al.  AI and the path to envelopment: knowledge as a first step towards the responsible regulation and use of AI-powered machines , 2019, AI & SOCIETY.

[8]  C. Bhattacharya,et al.  Strengthening Stakeholder–Company Relationships Through Mutually Beneficial Corporate Social Responsibility Initiatives , 2009 .

[9]  Henri Servaes,et al.  The Impact of Corporate Social Responsibility on Firm Value: The Role of Customer Awareness , 2012, Manag. Sci..

[10]  Matthias Scheutz,et al.  The “big red button” is too late: an alternative model for the ethical evaluation of AI systems , 2018, Ethics and Information Technology.

[11]  E. Vayena,et al.  Machine learning in medicine: Addressing ethical challenges , 2018, PLoS medicine.

[12]  Mariarosaria Taddeo,et al.  How AI can be a force for good , 2018, Science.

[13]  Maxime C. Cohen Big Data and Service Operations , 2018 .

[14]  Anna Jobin,et al.  The global landscape of AI ethics guidelines , 2019, Nature Machine Intelligence.

[15]  Michael P. Wellman,et al.  Economic reasoning and artificial intelligence , 2015, Science.

[16]  C. Mothe,et al.  Are firms with different CSR profiles equally innovative? Empirical analysis with survey data , 2013 .

[17]  C. Bhattacharya,et al.  The Business Case for Sustainability Reporting: Evidence from Stock Market Reactions , 2017 .

[18]  R. Schmidpeter,et al.  Social innovation : solutions for a sustainable future , 2013 .

[19]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[20]  Arthur P.J. Mol,et al.  Sociology, environment, and modernity: ecological modernization as a theory of social change. , 1992 .

[21]  Scott A. Wright,et al.  The rising tide of artificial intelligence and business automation: Developing an ethical framework , 2018, Business Horizons.

[22]  Saonee Sarker,et al.  Next generation digital platforms : toward human-AI hybrids , 2019 .

[23]  Longinos Marin,et al.  Competitiveness as a Strategic Outcome of Corporate Social Responsibility , 2012 .

[24]  J. Horvat THE ETHICS OF ARTIFICIAL INTELLIGENCE , 2016 .

[25]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[26]  Terry Anthony Byrd,et al.  Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations , 2018 .

[27]  Bodo B. Schlegelmilch,et al.  CSR practices and consumer perceptions , 2013 .

[28]  Roland T. Rust,et al.  Artificial Intelligence in Service , 2018 .

[29]  M. Lee A Review of the Theories of Corporate Social Responsibility: Its Evolutionary Path and the Road Ahead , 2008 .

[30]  Joanna Bryson,et al.  Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems , 2017, Computer.

[31]  C. Allen,et al.  Moral Machines: Teaching Robots Right from Wrong , 2008 .

[32]  Francisco J. Martínez-López,et al.  Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights , 2013 .

[33]  Yajiong Xue,et al.  Ensuring Employees' IT Compliance: Carrot or Stick? , 2013, Inf. Syst. Res..

[34]  J. Peloza,et al.  How can corporate social responsibility activities create value for stakeholders? A systematic review , 2011 .

[35]  I. Ioannou,et al.  Corporate Social Responsibility and Access to Finance , 2011 .

[36]  Badrudin Amershi,et al.  Culture, the process of knowledge, perception of the world and emergence of AI , 2019, AI & SOCIETY.

[37]  W. Ramsey,et al.  The Cambridge Handbook of Artificial Intelligence , 2014 .

[38]  P. Pavlou Internet of Things – Will Humans be Replaced or Augmented? , 2018, NIM Marketing Intelligence Review.

[39]  Francesca Rossi,et al.  AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations , 2018, Minds and Machines.

[40]  C. Bhattacharya,et al.  Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility , 2001 .