Research

While the anch.AI platform is rooted in our multidisciplinary research we have an undisputed excellence of applying it into state-of-the-art tools with an ambition to release the real power of ethical AI. As a one-stop-shop for Ethical AI, we do not only wish to apply screening, assessment, mitigation and reporting tools, but to be at the cutting edge of ethical and sustainable AI insights. Therefore, we make it crucial to operate as a data-driven insight platform, and constantly leverage the data from our tools together with our team’s diverse knowledge to generate unique insights and ways to walk the talk.

It is also a joint effort, with an entire community of research efforts. The Research Institute for Sustainable AI, consist of the former research team of the AI Sustainability Center (renamed to anch.AI in 2022). As a result, we take AI to the next level – a hybrid approach of research, platform offerings, advisory services and our extensive partnership network for essential insights and groundbreaking products that are ethically validated unlike any other.

Achieving a Data-Driven Risk Assessment Methodology for Ethical AI

Achieving a Data-Driven Risk Assessment Methodology for Ethical AI

The AI landscape demands a broad set of legal, ethical, and societal considerations to be accounted for in order to develop ethical AI (eAI) solutions which sustain human values and rights.
Regulating artificial‐intelligence applications to achieve the sustainable development goals

Regulating artificial‐intelligence applications to achieve the sustainable development goals

This perspective illustrates some of the AI applications that can accelerate the achievement of the United Nations Sustainable Development Goals (SDGs) and highlights some of the considerations that…
Interpretable deep-learning models to help achieve the Sustainable Development Goals

Interpretable deep-learning models to help achieve the Sustainable Development Goals

Artificial intelligence (AI) algorithms have the potential to support the Sustainable Development Goals (SDGs) of the United Nations (UN). However, one of the main limitations of current AI…
The European Union and the technology shift

The European Union and the technology shift

Chapter 4 of The European Union and The Technology Shift is titled: AI in the EU: Ethical Guidelines as a Governance Tool. This chapter examines ethical guidelines as a tool for the governance of…
Human centred AI in the EU

Human centred AI in the EU

The authors analyze several member states’ national AI strategies in order to determine the extent of which they have been influenced by European AI policy. Countries examined are Portugal, the…
Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at indicator level

Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at indicator level

Since the early phase of the artificial-intelligence (AI) era expectations towards AI are high, with experts believing that AI paves the way for managing and handling various global challenges.
The role of artificial intelligence in achieving the Sustainable Development Goals

The role of artificial intelligence in achieving the Sustainable Development Goals

The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a…
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction

Exploiting complex medical data with interpretable deep learning for adverse drug event prediction

A variety of deep learning architectures have been developed for the goal of predictive modelling and knowledge extraction from medical records. Several models have placed strong emphasis on temporal…
Transparency in artificial intelligence

Transparency in artificial intelligence

This conceptual paper addresses the issues of transparency as linked to artificial intelligence (AI) from socio-legal and computer scientific perspectives.The authors discuss and show the relevance…
On the governance of artificial intelligence through ethics guidelines

On the governance of artificial intelligence through ethics guidelines

This article uses a socio-legal perspective to analyze the use of ethics guidelines as a governance tool in the development and use of artificial intelligence (AI). This has become a central policy…
The socio-legal relevance of artificial intelligence

The socio-legal relevance of artificial intelligence

The report draws on socio-legal theory in relation to growing concerns over fairness, accountability and transparency of societally applied artificial intelligence (AI) and machine learning. The…
Hållbar AI | Sustainable AI

Hållbar AI | Sustainable AI

This is an inventory of the state of knowledge of ethical, social, and legal challenges with artificial intelligence, carried out in a Vinnova-funded project led by the AI Sustainability Center.