This report by the Chartered Accountants Australia and New Zealand explores the link between AI and ESG, pointing at the challenges ahead for finance and accounting professionals, as well as for society at large.

The extremely ambitious goals defined by international agencies worldwide are sure to imply a high risk…

As reported by the MIT Technology Review, «by capturing 40 pieces of data per person — from iris scans and family links to their favorite fruit — a system meant to cut fraud in the Afghan security forces may actually aid the Taliban».

In order to mitigate the risk of…

Governments around the world «are increasingly turning to algorithms to automate or support decision-making in public services». We can go to even greater lengths and state that algorithms are “eating” the negotiation ground of any present-day social contract, however defined, and this trend will only accelerate in the foreseeable future.

Data is frequently likened to commodities or essential goods such as oil, yet it has its own dynamics which deceptively simple metaphors might fail to capture. It has a peculiar way of generating value, «its power is relational and cumulative, realized in the aggregate», which is why the “privacy agenda”…

This is a broad yet crucial question to ask, as culture embodies the “semantics” (as Vygotsky would say) as well as the value system of any social structure, and thus it is the most powerful conveyor belt of experience, know-how, and ideas within the organization. In a way, culture «engender shared sensemaking».

And when it comes to enterprises facing daunting transitions it is pivotal for leaders to see culture up close, so as to avoid bias and pitfalls which might be «deeply woven into the organization’s social fabric».

This cardboard by MIT Sloan Management Review is a good primer in assessing, and then in preparing and measuring those very cultural shifts the post-Covid-era is making overdue.

In one of the first papers on this topic ever, the OECD studies anti-competitive behavior in a decentralized digital setting, i.e. on distributed ledger technologies and blockchains.

From the standpoint of antitrust law, the concerns remain the same as in traditional markets. Competition policymakers should focus on the development of permissioned blockchains, which, rather unexpectedly, pose a much higher risk than fully permissionless ones.

Research has shown that users of digital systems are already having a hard time telling whether they are interacting with AI enabled tech. Even for experts, predicting where and how AI will be used is becoming increasingly difficult.

Hence, instead of working on a case-by-case basis, which is hard to…

As everybody familiar with the field is aware, a generally agreed-upon definition of AI does NOT exist.

The AI Regulation drafted by the European Commission only defines AI either by attempting a scantily sketched taxonomy in Annex I (machine learning, statistical approaches, formal approaches, and that is all as of…

© D3Damon

Imagine you are pushing your trolley down the alleys of your favorite supermarket. You are now at the counters, you whip out your EU-designed payment app and snap! The groceries are paid for at the touch of a button. No extra-EU payment network was involved in settling the transaction.


Privacy has come under hard scrutiny in Italy as of late, especially as some manoeuvres to revamp a couple of government digital platforms (namely, IO and Immuni) so as to implement the EU Digital COVID Certificate in the Italian cyberspace have triggered interest by the Data Protection Authority. …

Roberto Reale

Innovation Manager with 10+ years of experience in e-government projects and digital transformation of critical industries at the national and EU level.

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