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HORIZON-EIC-2021-PATHFIND...
HORIZON-EIC-2021-PATHFINDERCHALLENGES-01-01: Awareness Inside
Scope:Awareness and consciousness have been high on the Artificial Intelligence (AI) research agenda for decades. Progress has been difficult because it has been hard to agree on exactly what it means to be aware. Most researches would agree though that we do not have any truly aware artificial system yet, that awareness is much more than a sensorial sophistication and that it is much more than any Artificial Intelligence as we know it. But, what is it then that a user would expect from a service or device that has ‘awareness inside’?
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Scope:Awareness and consciousness have been high on the Artificial Intelligence (AI) research agenda for decades. Progress has been difficult because it has been hard to agree on exactly what it means to be aware. Most researches would agree though that we do not have any truly aware artificial system yet, that awareness is much more than a sensorial sophistication and that it is much more than any Artificial Intelligence as we know it. But, what is it then that a user would expect from a service or device that has ‘awareness inside’?

Most scientific and philosophical accounts of awareness are based on a human subject perspective and at an individual level. They address the question of what it means for an individual human subject to be aware of, e.g., the environment, time or oneself and how one can assess awareness in this context. The problem is relevant, certainly, since many clinical and cognitive conditions can be linked to awareness issues. The concept is also relevant to emerging technologies as it has been argued, for instance, that humans will not accept robots (or chatbots, or decision support systems) as trustable partners if they cannot ascribe some form o... ver más

Scope:Awareness and consciousness have been high on the Artificial Intelligence (AI) research agenda for decades. Progress has been difficult because it has been hard to agree on exactly what it means to be aware. Most researches would agree though that we do not have any truly aware artificial system yet, that awareness is much more than a sensorial sophistication and that it is much more than any Artificial Intelligence as we know it. But, what is it then that a user would expect from a service or device that has ‘awareness inside’?

Most scientific and philosophical accounts of awareness are based on a human subject perspective and at an individual level. They address the question of what it means for an individual human subject to be aware of, e.g., the environment, time or oneself and how one can assess awareness in this context. The problem is relevant, certainly, since many clinical and cognitive conditions can be linked to awareness issues. The concept is also relevant to emerging technologies as it has been argued, for instance, that humans will not accept robots (or chatbots, or decision support systems) as trustable partners if they cannot ascribe some form of awareness and true understanding to them.

The individual human-centric concept of consciousness hinders the application of awareness as a measurable feature of any sufficiently complex system. The study of awareness in other species and artefacts, or even more elusive concepts such as social awareness require a new perspective applicable to many systems. It can then also serve to attack the inter-subjective state and experience of awareness (i.e., what is it like to interact with an aware robot that, most probably, does not have the same kind of awareness than the human?), or to include non-conscious objects into the sphere of awareness (e.g., to become aware of the time without looking at the watch).

For technologies, awareness principles would allow a step-up in engineering complex systems, making them more resilient, self-developing and human-centric. Awareness is a prerequisite for a real and contextualised understanding of a problem or situation and to adapt ones actions (and their consequences) to the specific circumstances. Ultimately, awareness serves the coherent and purposeful behaviour, learning, adaptation and self-development of intelligent systems over longer periods of time.

Specific conditions for this challenge

Proposals are expected to address each of the following three expected outcomes:

1. New concepts of awareness that are applicable to systems other than human, including technological ones, with implications of how it can be recognised or measured. It will require to elucidate the relationship between, among others, complexity and awareness, information structure and representation, the environment and its perception, distributed versus centralized awareness, and time awareness. This will lead to better approaches for defining aspects of awareness over different temporal, spatial, biological, technological and social scales.

2. Demonstrate and validate the role and added-value of such an awareness in an aware technology, class of artefacts or services for which the awareness features lead to a truly different quality in terms of, e.g., performance, flexibility, reliability or user-experience. The specific expected outcome is a proof of principle of technologies far beyond the current state of the art or a laboratory-validated prototype enabling evaluation of the proposed technology’s awareness features, relying where relevant on neuroscientific and psychological methods, and possibly in a range of application areas. As examples, projects could investigate the implications of ’awareness inside’ for safer robots or self-driving cars, for better resilience of critical infrastructure, in artefacts that compensate for consciousness disorders, in decision support (e.g. for surgery, economics or epidemiology), or for chatbot-based conversation, language learning or translation.

3. Define an integrative approach for awareness engineering, its technological toolbox, the needs and implications and its limits, including ethical and regulatory requirements. On this aspect specifically, the projects that will be funded under this challenge are expected to collaborate and contribute to the wider ethical, societal and regulatory debate since, ultimately, new awareness concepts may lead to a redefinition of how we look at the relation between humans, other species and smart technologies. The gender dimension in research content should be taken into account, where relevant, to maximise user experience.

This Challenge is only open to proposals for collaborative projects with at least 3 partners following the standard eligibility conditions. Proposals are required to comply with the Trustworthy Artificial Intelligence principles

For more details, see the EIC Work Programme 2021 and the relevant Challenge Guide


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Temáticas Obligatorias del proyecto: Temática principal: Licensing Artificial Intelligence & Decision support Neuroimaging and computational neuroscience Technological innovation Feasibility analysis Business plan Neuroinformatics Certification Verification Validation Technical Sustainable innovation Systems neuroscience Business model innovation Data markets Public sector innovation Robotic perception Investment readiness Algorithms and complexity Technology evaluation Disruptive innovation Technology commercialisation Dementia Patents Entrepreneurship Regulatory framework for innovation Collective Awareness Platforms Brain simulation and modeling Finance Market analysis and modelling Technology implementation Neuropsychology and cognitive psychology Copyrights Mental disorders Data mining Mathematical aspects of Computer Science Trademarks Market-creating innovation Cognitive science Cognitive and experimental psychology: perception Behavioural neuroscience (e.g. sleep consciousnes Real time data analytics Business analysis Higher brain functions Economics of innovation Risk analysis Robotic cognition Cost estimation / analysis Competitor analysis Brain research Data stream analysis Intelligent robotics cybernetics Competitiveness innovation research and developm Machine learning statistical data processing and Human computer interaction Natural language processing Simulation engineering and modelling Technology transfer Neurological disorders (e.g. Alzheimer's disease Market studies Spin-off companies Design innovation IPR management Interaction Multimodal Brain-Computer-Interfaces Start-up companies Geo-information and spatial data analysis Scientific computing and data processing Regulatory and Standardization Innovation Management Assessment Market research Exploitation of results Business development Cognition (e.g. learning memory emotions speech Assistive robotics

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: Scope:Awareness and consciousness have been high on the Artificial Intelligence (AI) research agenda for decades. Progress has been difficult because it has been hard to agree on exactly what it means to be aware. Most researches would agree though that we do not have any truly aware artificial system yet, that awareness is much more than a sensorial sophistication and that it is much more than any Artificial Intelligence as we know it. But, what is it then that a user would expect from a service or device that has ‘awareness inside’? Scope:Awareness and consciousness have been high on the Artificial Intelligence (AI) research agenda for decades. Progress has been difficult because it has been hard to agree on exactly what it means to be aware. Most researches would agree though that we do not have any truly aware artificial system yet, that awareness is much more than a sensorial sophistication and that it is much more than any Artificial Intelligence as we know it. But, what is it then that a user would expect from a service or device that has ‘awareness inside’?
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Gastos relacionados con el personal que trabaja directamente en el proyecto basado en las horas efectivas dedicadas, basado en el coste empresa y ratios fijos para determinados empleados como los dueños de la compañía.
Subcontracting costs.
Pagos a terceros externos para realizar tareas específicas que no pueden ser realizadas por los beneficiarios del proyecto.
Purchase costs.
Incluyen la adquisición de equipos, amortizaciones, material, licencias u otros bienes y servicios necesarios para la ejecución del proyecto
Other cost categories.
Gastos diversos como costes financieros, certificados de auditoría o participación en eventos no cubiertos por otras categorías
Indirect costs.
Gastos generales no asignables directamente al proyecto (como electricidad, alquiler u oficina), calculados como un 25% fijo sobre los costes directos elegibles (excepto subcontratación).
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 4:. Los componentes que integran determinado proyecto de innovación han sido identificados y se busca establecer si dichos componentes individuales cuentan con las capacidades para actuar de manera integrada, funcionando conjuntamente en un sistema. + info.
TRL esperado:

Características de la financiación

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The funding rate of this grant will be 100% of the eligible costs. The funding rate of this grant will be 100% of the eligible costs.
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Información adicional de la convocatoria

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