Ethical Risks and Challenges of Computational Intelligence
Artificial intelligence (AI) has entered an increasing number of different domains. A growing number of people – in the general public as well as in research – have started to consider a number of potential ethical challenges and legal issues related to the development and use of AI technologies. There have been related initiatives across the globe, such as the High-Level Expert Group on Artificial Intelligence (AI HLEG) appointed by the European Commission that has a general goal to support the implementation of the European Strategy on Artificial Intelligence. This has been followed up with the proposal of the European Artificial Intelligence Act (AIA) and the New Machinery Directive (MD), focusing on developing a framework for trustworthy Artificial Intelligence within Europe, laying down harmonized rules, for both AI systems with and without a physical layer (e.g., chatbots vs. robots etc.). This tutorial will give an overview of the most commonly expressed ethical challenges and ways being undertaken to reduce their negative impact using the findings in an earlier undertaken review (https://www.frontiersin.org/articles/10.3389/frobt.2017.00075/full ) and an overview paper of Artificial Intelligence Ethics (https://www.computer.org/csdl/journal/ai/5555/01/09844014/1Fnr097UNd6 ), supplemented with recent work and initiatives. This includes the identified challenges in a “Statement on research ethics in artificial intelligence. ( https://www.forskningsetikk.no/globalassets/dokumenter/4-publikasjoner-som-pdf/statement-on-research-ethics-in-artificial-intelligence.pdf )”
Among the most important challenges are those related to privacy, fairness, transparency, safety and security. Countermeasures can be taken first at design time, second, when a user should decide where and when to apply a system and third, when a system is in use in its environment. In the latter case, there will be a need for the system by itself to perform some ethical reasoning if operating in an autonomous mode. This tutorial will introduce some examples from our own and others´ work and how the challenges can be addressed both from a technical and human side with special attention to problems relevant when working with AI research and development. AI ethical issues should not be seen only as challenges but also as new research opportunities contributing to more sustainable, socially beneficial services and systems.
An overview of the topic explaining its relevance and significance to the computational intelligence society
Computational intelligence ethics is a very broad and multi-disciplinary research area. In this tutorial, we would target to present a structured overview with a focus on the most important ethical issues and their countermeasures. It will also cover how that can open up new directions in research related to robots and systems.
As development is moving from lab settings to practical applications involving users, there is increasing attention on the ethical implications and legal issues related to robots and systems. Thus, earlier experience from talks on the same topic has shown that there is, in general, a wide and increasing interest in the theme of the tutorial. Thus, the tutorial will target all attendees of the IJCNN-2023 conference.
A tutorial schedule with topic and time allocation
The main content of the tutorial will be a presentation of the most commonly expressed ethical challenges. This will be illustrated by examples from own and others´ work. The tutorial will also contain some parts where participants discuss ethical challenges (plenary or in small groups). Further, opinions within the audience will be collected by using tools like the Mentimeter voting tool (responding using your smartphone to answer multiple-choice questions).