(Redefining Digital Creativity)
why us
MIRAI is a spin-off of the University of Milan
founded in 2024 at the "Piero Martinetti" Philosophy Department, in collaboration with Wazabit and Davide Posillipo.
benefits
To support responsible and trustworthy uses of Artificial Intelligence systems
through transparent and accountable methods in order to control data, models and to respect regulations.
Keeping AI under control
IS GETTING HARDER
Models complexity
With complex deep learning and machine learning models is hard to detect biases and other unwanted behaviours, and measure risks.
Data complexity
Training of AI models on large and noisy datasets, using different sources and created through complex and opaque pipelines, makes it difficult to trace down the origin of undesired outcomes.
Regulations
The upcoming EU AI Act brings the need of monitoring continuously updated AI models with respect to several dimensions of risk.
services
MIRAI develops digital ecosystems for the verification, control and supervision
of data-driven and machine learning technologies, with particular reference to the analysis of issues of fairness, bias and transparency in compliance with legal and ethical criteria.
BRIO: Algorithmic Bias and Risk Detector
- A tool capable of analysing algorithmic models in order to identify biases and to measure risks, and provide methods to mitigate them.
- BRIO leverages on formal methods, based on published research by the group behind MIRAI, offering an unmatched level of control and transparency.
- It is model-agnostic, it has been tested on several tabular dataset and it will be progressively adapted to handle any other kind of data formats.
Consultancy
- Collect information about the current AI models and data used in the organization.
- Identify and prioritize the models and scenarios that need assessment
- Inspect data and models with the appropriate MIRAI tools and methodologies to provide actionable metrics
- Use the collected insights to propose a roadmap for mitigation and transition to responsible AI uses
- Support the Client during the roadmap implementation
mission
Digital agency bring specialized knowledge and experience
They use analytics tools to track and measure the performance of digital campaigns, gaining insights into user behavior, engagement, and conversion rates.
(how it workings)
Our Process
#1 - Analysis
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.
#2 - Marketing
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.
#3 - Design
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.
#4 - Development
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.
#5 - Backend
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.
#6 - Frontend
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.
#7 - Ecommerce
Creating visually appealing graphics, logos, and branding elements to establish a strong brand identity.