AI DO ETHICS

The AI DO ETHICS - Artificial Intelligence and Innovation in Economics and Business project. Developing skills by Ethics - coordinated by the University of Macerata, follows new research paths, inserting itself in a consolidated tradition of the University, which has always committed the different humanities to a dimension of application. The recent doctoral courses in "Innovation and law" and in "Humanism and Technology" testify to this. Furthermore, since 2013, the Research Enhancement Office - ILO (Industrial Liaison Office) within the Research and Internationalization Area, carries out research enhancement activities addressed both internally, having as reference the teaching staff, doctoral students and students, both externally, in relation to the local productive fabric and the social community in which the University is inserted, with a specific attention to cultural and creative industries and digital humanism. Artificial Intelligence will revolutionize our world. It will change how we work and how businesses succeed. We need to think about what AI should do and not simly about what it can do. We have to make sure that AI is ethically grounded, for ensuring that AI has a positive impact from a social perspective as well as from an economic one. Therefore, our tasks are to improve 1) skills to live in an AI-driven society, 2) skills to work with AI in business and marketplace. The project considers in an integrated way research, education and commitment for social and business objectives, and aims to promote ethically conscious uses of technologies. Ethics is not a merely containing or limiting point of view; moreover it is generative of new perspecives and of overall more efficient solutions, it is a driver of technological and social innovation and a resource for more cooperative, resilient, supportive societies. First of all the project addresses some critical issues to highlight and manage them: a) lack of synergies between humanities and technological disciplines; b) lack of synergies between universities and companies in order to share results of ethical research; c) lack of awareness about responsibility in innovation, d) increasing cultural diversity and plurality that makes traditional ethical codes of uncertain application. The project intends: 1) to promote a widespread ethical sensitivity towards AI; 2) to design a path of ethical awareness towards AI in particular for AI users and for young people that the university specifically trains on business; 3) to take a concrete step towards the elaboration of ethics- guidelines for AI users; 4) to improve the awareness that ethics fosters trustworthy innovation; -5) to promote a new and innovative education model in the AI sector, through the involvement, in experimentation, of two key dimensions such as the academic research and education and the business world. All the partners actively contribute to the development of the project: tasks, efforts and budget are distributed within the partnership to ensure balanced involvement. The project develops through several activities for a diverse audience: 1) research is carried out to acquire knowledge about good ethical practices already implemented by companies that work with AI in the economic field; 2) a panel of 80 (20 IT, 15 FR, 15 DE, 15 PL, 15 RO) students is involved in the experimentation of a training course based on the dimensions of knowing (learning by thinking), acting (learning by acting), and doing (learning by doing); 3) confrontations are organized between the academic world and the world of business; 4) a new interdisciplinary teaching format is designed for university teaching, centered on the ethical issues raised by AI, in particular in the economic and business fields; 5) workshops, open meetings and even a literary prize are organized to spread awareness of the ethical issues raised by AI. Project results are the following: 1) the asset and development of a new interdisciplinary teaching for university education, centered on the ethical issues opened by the AI, in particular in the economic and business fields; it can work as a pilot, built with mixed face2face and e-learning modules, that is adaptable and implementable for use in different degree courses and also in companies; 2) the creation of an adaptability manual of the new course for university curricula in which experimentation will take place; 3) the development of guidelines for an ethical attitude by AI users, particularly in the economic and business fields; 4) results of cultural and social impact, which mean: growth in awareness among stakeholders and citizens about the ethical issue emerging from the use of AI, particularly in enterprise and busines