@article {1438,
	title = {Reinvigorating the Discourse on Human-Centered Artificial Intelligence in Educational Technologies},
	journal = {Technology Innovation Management Review},
	volume = {11},
	year = {2021},
	month = {05/2021},
	pages = {5-16},
	publisher = {Talent First Network},
	chapter = {5},
	address = {Ottawa},
	abstract = {The increasing relevance of artificial intelligence (AI) applications in various domains has led to high expectations of benefits, ranging from precision, efficiency, and optimization to the completion of routine or time-consuming tasks. Particularly in the field of education, AI applications promise immense innovation potential. A central focus in this field is on analyzing and evaluating learner characteristics to derive learning profiles and create individualized learning environments. The development and implementation of such AI-driven approaches are related to learners{\textquoteright} data, and thus involves several privacies, ethics, and morality challenges. In this paper, we introduce the concept of human-centered AI, and consider how an AI system can be developed in line with human values without posing risks to humanity. Because the education market is in the early stages of incorporating AI into educational tools, we believe that this is the right time to raise awareness about the use of principles that foster human-centered values and help in building responsible, ethical, and value-oriented AI.},
	keywords = {artificial intelligence, design for value approach., educational technology, human-centered AI, intelligent tutoring systems},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1438},
	url = {timreview.ca/article/1438},
	author = {Andr{\'e} Renz and Gergana Vladova}
}
@article {980,
	title = {Weighing the Pros and Cons of Engaging in Open Innovation},
	journal = {Technology Innovation Management Review},
	volume = {6},
	year = {2016},
	month = {04/2016},
	pages = {34-40},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {The positive aspects of open innovation projects are widely discussed in innovation management research and practice by means of case studies and best practices. However, enterprises, particularly small and medium-sized enterprises (SMEs) also face miscellaneous challenges in open innovation practice, leading to uncertainty and even renunciation of open innovation project participation. Thus, it is essential for SMEs to find the right balance between possible positive effects and negative consequences {\textendash} the latter being the less studied {\textquotedblleft}dark sides{\textquotedblright} of open innovation. However, appropriate methods of finding this balance are still lacking. In this article, we discuss the assessment of open innovation project participation by presenting a weighing and decision process framework as a conceivable solution approach. The framework includes an internal, external, and integrated analysis as well as a recommendation and decision phase. Piece by piece, we investigate the current situation and the innovation goals of the enterprise as an initial point for a decision for or against engaging in open innovation. Furthermore, we discuss the development of a software tool that automatically applies this framework and allows self-assessment by SMEs.},
	keywords = {benefits, entrepreneurship, Open innovation, open innovation participation, risks, self-assessment tool, SMEs},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/980},
	url = {http://timreview.ca/article/980},
	author = {Andr{\'e} Ullrich and Gergana Vladova}
}
