Responsabilità sociale d'impresa e misurazione della perfomance

Le organizzazioni di ogni tipo, in virtù della funzione centrale che rivestono nella società, hanno un ruolo importante nel mantenimento di uno sviluppo sostenibile. Concetti quali sviluppo sostenibile e gestione responsabile sono ad oggi imperativi su cui fondare la gestione aziendaleope

Responsabilità sociale d'impresa e misurazione della perfomance

Le organizzazioni di ogni tipo, in virtù della funzione centrale che rivestono nella società, hanno un ruolo importante nel mantenimento di uno sviluppo sostenibile. Concetti quali sviluppo sostenibile e gestione responsabile sono ad oggi imperativi su cui fondare la gestione aziendal

The role of external assurance on the quality of environmental disclosure: evidence from two environmentally sensitive industries

The research analysis with a positivist approach whether the quality of disclosure can be associated with the choice of having external assurance. The aim is to investigate whether companies that decide to turn to an external assurance provider show also an higher commitment toward accountability. the study also examines whether differences in the quality of disclosure ca be reconciled with the choice of different types of assurance provide

Data quality requirements for inclusive, non-biased and trustworthy AI: Putting-Science-Into-Standards

A decade of rapid development of artificial intelligence (AI) has resulted in a large diversity of practical applications across different sectors. Data play a fundamental role in AI systems, which can be seen as adaptive data processing algorithms that adjust outputs to input training data. This fundamental role of data is reflected in the EU policy agenda where for example guidance on handling the data is specified in the AI Act. In response to the needs of the AI Act, the Joint Research Centre, in collaboration with the European Committee for Standardisation and the European Committee for Electrotechnical Standardisation, organised the Putting Science Into Standards workshop on data quality requirements for inclusive, nonbiased, and trustworthy artificial intelligence. The workshop took place on 8 and 9 June 2022, with more than 178 participants from 36 countries gathering for the first time European standardisation experts, legislators, scientists, and societal stakeholders to map pre-normative research and standardisation needs. The workshop highlighted existing and the need of new standards from the creation and documentation of datasets all along to data quality requirements, bias examination and mitigation of AI systems. The workshop also identified the steps needed to start the process of drafting new standards and recognised that inclusiveness and full representation of all relevant stakeholders, including industry, SMEs representatives, civil society, and academia is crucial. Building a stronger engagement of experts in AI standardisation is essential to contribute to the development of standards not only to support the market deployment of AI systems in accordance with the AI act, but also to support this growing field of research

ERA industrial technology roadmap for low-carbon technologies in energy intensive industries

The EU has to drastically accelerate the clean energy transition and increase Europe's energy independence from fossil fuels – and from Russia. This focus is not new: decarbonisation of industry is a key element on the EU’s path to achieving the objective of climate neutrality by 2050 and an intermediate target of reducing greenhouse gas emissions by at least 55% by 2030, as laid down in the European Climate Law. However, bringing innovative low-carbon industrial technologies quickly to the market has become more urgent than ever. The European Research Area (ERA) industrial technology roadmap sketches out the key technologies and the means to transfer them to the industrial ecosystem for energy-intensive industries at EU and national level.Scaling up and deploying the – manageable – number of innovative low-carbon technologies currently at high technology readiness is needed to reach the 2030 emission objectives and to further reduce industry dependence on gas.In order to make best use of the public toolbox to leverage private R&I investment, to increase cross-sector cooperation and accelerate deployment, a number of opportunities for actions were identified, such as to intensify the cooperation with European standardisation organisations (e.g. CEN, CENELEC) and industrial partnerships to identify and fill main standardisation gaps for innovative low-carbon industrial technologies.https://data.europa.eu/doi/10.2777/92567https://dx.doi.org/10.2777/92567KI-01-21-501-EN-NISBN 978-92-76-44692-7EUR 2021.5872 E

Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

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