PORTALE DELLA DIDATTICA

Ricerca CERCA
  KEYWORD

Enriching model assessments to facilitate human intervention/agency in AI model development and monitoring

azienda Tesi esterna in azienda    


Parole chiave ALGORITHM FAIRNESS, ARTIFICIAL INTELLIGENCE, DATA ETHICS, DATA QUALITY, DATA SCIENCE, EXPLAINABLE AI, HUMAN-COMPUTER INTERACTION, SOFTWARE ENGINEERING

Riferimenti JUAN CARLOS DE MARTIN, ANTONIO VETRO'

Gruppi di ricerca DAUIN - GR-22 - Nexa Center for Internet & Society - NEXA

Tipo tesi AZIENDALE, EXPERIMENTAL, RESEARCH, SPERIMENTALE APPLICATA, SPERIMENTALE IN AZIENDA

Descrizione While generating explanation based assessments for blackbox AI models is not very complicated, presenting that information to humans in a way that they can make positive interventions within the datasets and models is not straightforward. We are interested in understanding the best practices to provide augmented cues to model builders to make their AI models more human centric, trustworthy and controllable.

Clearbox AI is an innovative SME, incubated in I3P, winner of the National Innovation Award (PNI 2019) in the ICT category and the EU Seal of Excellence awarded by the European Commission. Clearbox AI is developing a unique and innovative technology ("AI Control Room"), which allows to put into production artificial intelligence models that are robust, explainable and monitorable over time.

Vedi anche  https://clearbox.ai/ai-control-room/


Scadenza validita proposta 08/10/2022      PROPONI LA TUA CANDIDATURA




© Politecnico di Torino
Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY
Contatti