3r Congrés d'Economia i Empresa de Catalunya - Abstracts.
Abstract
The development of autonomous artifacts enabled by artificial intelligence techniques is creating new ethical challenges. We believe the co-existence of these artifacts and humans can only happen if the artifacts distinguish between right and wrong. Artifacts need to be embedded with the moral code that the society wherein they will act holds.
There are two fundamental aspects that need to be taken into consideration. First, morality has a dual sense. It has a descriptive facet on what are the abstract cultural and personal values that are considered right or wrong, and a normative facet which describes what is the actual behaviour that is right or wrong. Second, morality has an evolutionary aspect. Codes of conduct evolve in our societies.
To ensure that technology is responsible we propose to set values and norms as the foundations of the design process. Values and norms are the rules that govern behaviour in societies. This is in line with the Asimolar AI Principle on “Value Alignment” from the Future of Life Institute, which states that “highly autonomous AI systems should be designed so that their goals and behaviors can be assured to align with human values throughout their operation”.
However, we also propose for humans to be in control of their technologies because they want and must be the final decision point on what are the moral codes that artifacts have to abide by and how they evolve along time. This is in line with the Asimolar AI Principle on “Human Control” from the Future of Life Institute, which stresses the needs for humans to maintain control over developed AI systems.
We propose a roadmap for the design and implementation of "moral" intelligent artefacts, whose morality is dictated by the community’s agreements on their moral code.
Abstract The development of autonomous artifacts enabled by artificial intelligence techniques is creating new ethical challenges. We believe the co-existence of these artifacts and [...]
3r Congrés d'Economia i Empresa de Catalunya - Abstracts.
Abstract
When people need help with day-to-day tasks they turn to family, friends or neighbours to help them out. Finding someone to help out can be a stressful waste of time. Despite an increasingly networked world, technology falls short in supporting such daily irritations. uHelp provides a platform for building a community of helpful people and supports them in finding help for day-to-day tasks.
We present uHelp, a platform for building a community of helpful people and supporting community members find the appropriate help within their social network. Lately, applications that focus on finding volunteers have started to appear, such as Helpin or Facebook's Community Help. However, what distinguishes uHelp from existing applications is its trust-based intelligent search for volunteers. Although trust is crucial to these innovative social applications, none of them have seriously achieved yet a trust-building solution such as that of uHelp. uHelp's intelligent search for volunteers is based on a number of AI technologies: (1) a novel trust-based flooding algorithm that navigates one's social network looking for appropriate trustworthy volunteers; (2) a novel trust model that maintains the trustworthiness of peers by learning from their similar past experiences; and (3) a semantic similarity model that assesses the similarity of experiences.
uHelp has been designed for the more sensitive and urgent tasks, where one might not be interested in broadcasting a request, nor will it have the time to handpick its trusted friends for a given sensitive request, such as finding a volunteer to picking up one's child from school in half an hour. Instead, the user will simply state its request, specify the rules of who can be trusted for this specific request, and press the help button. Searching for trusted potential volunteers then relies on one's social network, constructed from people's contact lists.
Abstract When people need help with day-to-day tasks they turn to family, friends or neighbours to help them out. Finding someone to help out can be a stressful waste of time. Despite [...]
Moral Machines 
