2. Identifying challenges and barriers 2.1. Ethical dilemmas • Lack of awareness about ethics in the general public • There is observed pressure and competition standing in the way for reflected ethical decisions • GDPR is a challenge as it is not human-centric or implemented • Understanding the meaning of “ethical” and “AI” is challenging • Insufficient engagement of people from tech and outside of the tech-world in conversations on this topic • High level of trust also makes us naïve, when it comes to utilizing systems and products • Education needs to combine tech, humanity and social sciences • It is difficult to test tech-solutions in the region • Lack of research in the universities that is centred on ethics • Challenging to convert old data to new data design solutions • The public sector is not ready to handle data and use it (AI/tech) • The Nordic region is small, and too dependent on the global development and market • The readiness of our societies to utilize new technologies such as AI are at a standstill • Biased data and data security are barriers to overcome • Lack of experts in AI, and a challenge to attract talents to the region 2.2. Awareness, research and external factors 2.3. Accountability • Lack of authority/body such as “ombudsman” • It is challenging to regulate on new technologies such as AI • Lack of involvement of societal organisations at early stages in the development processes • It is a challenge to place responsibility of an AI-solution that is wrong-doing • The governments have responsibility, when it comes to maintain trust in digital services, and they are challenged on this when the wrong-doing cases are exposed in the media • No clarity on responsibilities for ethics, when developing new products • AI-monopolies (few big Tech-giants) “unethical” approaches
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