H2020Индивидуална стипендия2018–2020

Biased AI · Biased Artificial Intelligence: Openness, innovation and the remaking of mental health

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2018-09-01 → 2020-08-31
Финансиране от ЕС
172 800 €
Участници
1
Схема
MSCA-IF-EF-CAR

Линиите свързват координатора с партньорите.

Накратко на български

Изкуственият интелект в здравеопазването се анализира чрез примери като мобилните приложения за промяна на хранителните навици. Това помага за създаването на правила, които да предпазят нуждите на пациентите от търсенето на печалба или административни цели.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Biased Artificial Intelligence:Openness, innovation and the remaking of mental health

The particular problem to be addressed concerns the possibility of powerful entities using AI in ways that fail to take into account the health needs of patients. Governments may use AI to organise more efficiently government itself and private entities may want to profit from their monopolistic position. Importance for society: Ultimately the project will seek to contribute to the debate on designing ‘good AI’ by means of making concrete policy proposals in favour of a system that does not lose sight of the individual and as such promotes responsible innovation in the field. Objectives: AI is a tool to mine troves of health data. Therefore, the first objective consisted of identifying novel business models and partnerships between the private and public sector in the emerging health data market. The second objective concerned the role of intellectual property rights and 'open' models of innovation and what they tell us about the way AI is currently being developed. The third objective concerned discussing public policy implications of using AI in wearables and mobile apps ito nudge people to change harmful behaviors such as eating habits and non adherence to medication and link this discussion to the problem of responsible innovation. To meet these objectives qualitative research and analysis of legal/policy documents was conducted to identify public and commercial demands in order to rethink the governance of innovation in AII. Participant observation and Interviews with key stakeholders were conducted to elicit their views. The governance question needs to take into account public demands that are technically feasible and at the same time commercially viable in the AI era.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Following trends to design Artificial Intelligence (AI) for Good, (a plea to develop AI in ways addressing pressing problems that face humanity), the focal question we will address is: What is the proper combination of open and proprietary elements in AI innovation in the field of mental health in light of the need to design a system that both promotes innovation and is compatible with the ideals of human dignity, fundamental rights and freedoms, and cultural diversity? Our concern in the context of mental health in particular is that proprietary AI may reproduce gender and racial stereotypes, which in turn may reinforce social stigma and raise a barrier to proper diagnosis and treatments. On the other hand, the present research does not entertain a model of innovation where the proprietary stands in opposition to the open. Rolling back private property does not necessarily favour the weak over the strong. To this effect, we propose to conduct qualitative research to identify public and commercial demands in order to rethink the governance of innovation in AI, focusing in particular on mental health. Participant observation and Interviews with key stakeholders will be conducted to elicit their views, taking into account not only economic but also ethical aspects (diversity, rights and freedoms). The governance question needs to take into account public demands that are technically feasible and at the same time commercially viable in the AI area.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз