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Security and Ethical Concerns of Affective Algorithmic Music Composition in Smart Spaces
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Author(s): Abigail Wiafe (University of Eastern Finland, Finland)and Pasi Fränti (University of Eastern Finland, Finland)
Copyright: 2020
Pages: 11
Source title:
Modern Theories and Practices for Cyber Ethics and Security Compliance
Source Author(s)/Editor(s): Winfred Yaokumah (University of Ghana, Ghana), Muttukrishnan Rajarajan (City University of London, UK), Jamal-Deen Abdulai (University of Ghana, Ghana), Isaac Wiafe (University of Ghana, Ghana)and Ferdinand Apietu Katsriku (University of Ghana, Ghana)
DOI: 10.4018/978-1-7998-3149-5.ch012
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Abstract
Affective algorithmic composition systems are emotionally intelligent automatic music generation systems that explore the current emotions or mood of a listener and compose an affective music to alter the person's mood to a predetermined one. The fusion of affective algorithmic composition systems and smart spaces have been identified to be beneficial. For instance, studies have shown that they can be used for therapeutic purposes. Amidst these benefits, research on its related security and ethical issues is lacking. This chapter therefore seeks to provoke discussion on security and ethical implications of using affective algorithmic compositions systems in smart spaces. It presents issues such as impersonation, eavesdropping, data tempering, malicious codes, and denial-of-service attacks associated with affective algorithmic composition systems. It also discusses some ethical implications relating to intensions, harm, and possible conflicts that users of such systems may experience.
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