European Union

Poland's ruling Law and Justice party (PiS) rushed a legislative amendment through parliament on Wednesday (21 November) reversing changes it had made at the Supreme Court that the European Union had condemned as undemocratic.

It looked like a done deal. Interpol, the global law enforcement agency, appeared ready to select Russia’s Alexandr Prokopchuk as its next president – despite the fact that he had been accused of overseeing a policy of systematically targeting critics and dissidents during his time in charge of the Russian office of Interpol.

The EU commission says it would like to see more of its 775 'expert groups' operate in public - but it has left it up to the groups themselves to decide.

European Defence Agency, Polish MoD and Rheni GmbH have signed a contract for the provision of the J1 Functional Area Service (J1FAS) software to the Polish Operational Headquarter (OHQ) in Krakow in the context of the EU Visegrad Battlegroup commitment. The contract runs until the end of 2019. 

Rheni GmbH will host the J1 FAS software on a dedicated server to provide reliable J1 FAS services to operational users within Operational Headquarters. It includes preventive and corrective maintenance as well as training packages.

The OHQ located within the Land Operations Centre-Land Component Command in Cracow, has been formed in order to fulfil the tasks related to the 6 months standby period of the EU Visegrad Battlegroup. The next period will begin in July 2019.

The contract is the result of a close cooperation between the EDA, the Polish MoD and Rheni GmbH to define the requirements and evaluate the services required. EDA has been in the lead of the process up to the signing of the contract and will continue to be fully responsible for its management throughout the implementation. 

J1 FAS is a software tool developed to help the J1 (human resources) branch of EU headquarters managing the in-processing and out-processing of personnel during all phases of an operation. From an operational point of view, J1 FAS allows much more accurate and faster in-processing of personnel coming from Member States all over the EU and enables important personnel management information to be synthesized from the database. 

The software has been used previously by the Greek OHQ in support of Operation EUFOR RCA in 2014 and to support various EU military exercises (MILEX). It is in continuous use in EUNAVFOR MED Operation Sophia Operational Headquarters in Rome since 2015. As a result of the high satisfaction rate and demand from various users, a framework contract that can provide a catalogue of support arrangements for a rollout of the J1 FAS to HQs was put in place in June this year.
 

More information:

• EDA brochure support to operations

 

The EU executive took the first step to disciplining a member state, in this case Italy, for breaking EU fiscal rules. The lengthy procedure could lead to fines, since Italy refuses to cave in.

The EU commission on Wednesday said it still finds Italy's budget plans a serious breach of EU rules and proposed launching a disciplinary procedure over Rome's ballooning public debt, which stands at 131 percent of GDP - double the benchmark according to EU rules. Launching the procedure, which ultimately could see sanctions for Italy, will be decided by member states.

With both Macron and Merkel losing support domestically, it is questionable whether their plans will succeed. Even more so, given the opposition by the Hanseatic states, the upcoming European elections and Italy's political hooliganism.

Electronic cigarettes and novel tobacco products have emerged as alternatives to traditional smoking, which is responsible for nearly 700,000 deaths every year in the EU. Advocates of the so-called “next generation products” insist they are much less harmful than smoking....

Written by Mihalis Kritikos,

Algorithms are step-by-step procedures for solving a problem, usually expressed in computer code as a set of instructions for a computer to follow in order to complete a task. An algorithm can be hand-coded by a programmer or generated automatically from data, as in machine learning. The latter is considered a form of artificial intelligence. Day-to-day decisions around the world are based increasingly on data science techniques powered by machine-learning algorithms. For example, the intermediary platforms that propose accommodation (AirBnB) or transport services (Uber) use algorithms extensively. At the same time, algorithms, implicitly or explicitly, are not neutral, as their design is based on value-laden judgments that can potentially have race or sex biases, for example. This raises an important question: is it possible to ensure that algorithms are ethical?

© wladimir1804 / Fotolia

Algorithms are widely employed to make decisions that have far-reaching impacts on individuals and society. They have the power, not least, to affect the distribution of social goods such as education, employment, police protection and medical care, as well as the protection of fundamental rights such as the right to life, the right to a fair trial and the presumption of innocence, the right to privacy, freedom of expression and workers’ rights. Cases such as the Volkswagen algorithm, which enabled vehicles to pass emissions tests by reducing their nitrogen oxide emissions during those tests, and policing software for pinpointing repeat offenders, which frequently appears biased against black people, are instances of how algorithms’ ethical shortcomings have led to ‘algorithmic tragedies‘.

Learning algorithms can invisibly reproduce and deepen various forms of prejudiced social classification, manifesting a new form of ‘rational discrimination‘ harming people’s life-chances. In fact, algorithms may amplify racial and gender biases as they contain the values and judgements of their human developers, who decide which data to include or exclude and how to weight each component. Biased or incomplete data can build flawed statistical models and reinforce societal biases if there are no impact assessment, audit or oversight procedures in place. Far from eradicating human biases, algorithms could magnify and entrench them, potentially leading to loss of human agency, especially if algorithms start creating new algorithms.

Thus, a 2016 ProPublica analysis of the use of automated decision-support software under the name COMPAS uncovered evidence of racial bias within the US criminal justice system. Nevertheless, US judges are increasingly using this risk assessment algorithm to ground their decisions across a range of stages in the criminal justice process. In addition, recent evidence indicates discrimination against communities of colour resulting from the use of credit-scoring systems in the US. In the case of health data, there are three ways in which bias can have an impact: human bias; bias that is introduced by design; and bias in the ways systems use the data. In the same context, the development by UK local councils, amid mounting financial pressure, of ‘predictive analytics’ systems to algorithmically identify families for attention from child services may intrude into individual privacy and reinforce the stigmatisation of certain population groups.

Challenges to the design of ethical algorithms

The embedding of ethical principles in algorithmic decision-making would have its challenges, given the proprietary nature of algorithms and the need to safeguard privacy. Certain questions need to be asked before implementing an algorithmic decision-making system. Should the ethical assumptions in the algorithm be transparent and easy for users to identify? What about the development teams that create them – are they sufficiently diverse? Will people affected by these decisions have any influence over the system? Even if algorithms were made transparent, how could they be understood by multiple stakeholders of varying technical algorithmic literacy? Could ethical principles such as fairness and the right to privacy be encoded in the system and, if so, what should those principles be and who should decide upon their choice and weighting? Do our societies have universal, moral standards that can be codified?

In response to a mounting number of news articles about the ethics of algorithms, various market solutions that offer ‘algorithmic accuracy, bias and fairness’ certification are starting to emerge, including the AI fairness toolkit, Audit-AI by Pymetrics, Facebook’s Fairness Flow and ORCAA. Recognition of the need to operationalise moral judgement for the development of autonomous vehicles and to integrate artificial moral agents that can manage complexity into new technologies has led to a series of algorithm design initiatives based on various ethical theories, such as one by the National Science Foundation. The emergence of artificial intelligence and advanced machine-learning may lead to self-driving cars being equipped with an ethical knob that could set key patterns of behaviour. IBM has meanwhile developed a new set of open-source software in order to help developers deal with black-box algorithms and understand how the artificial intelligence they use makes decisions.

What does developing ethical algorithms mean for European policy-making?

When it comes to ethical impacts of algorithmic decision-making systems, there are as yet no established certification models and procedures that could expressly address ethical considerations, including bias and transparency, in the domain of algorithms. This is partially due to a lack of existing standards on these issues to certify against. Developing ethical principles and codes for algorithms means identifying the decision-making principles and norms and the allocation of roles and responsibilities of the decision system.

The IEEE global initiative for ethical considerations in artificial intelligence and autonomous systems, the Toronto Declaration and Facebook’s Fairness Flow indicate the need to set socially oriented goals and benchmarks for the development of algorithms. Given, however, that algorithms are unstable objects of ethical scrutiny, their ethics could still be investigated via the use of algorithmic impact assessments, and ‘algorithmic audits’ may need to become a legal requirement when implementing any systems of this kind. These audits would address ethical questions, such as the legitimacy of the use of an algorithmic decision-making system in certain contexts (e.g. evidence-based sentencing or lethal weapons), and be performed by ethical committees, accreditation bodies and certification agencies.

Their aim should be to evaluate the proposed uses of algorithmic decision-making in highly sensitive and/or safety-critical application domains and investigate suspected cases of rights violations in the frame of the same technological context. Moreover, these instruments could help system developers and decision-makers revisit some of their own assumptions of what an algorithm actually is, and explain decisions in areas such as credit, for instance.

Interestingly, the requirement for data controllers to provide data subjects with ‘meaningful information about the logic involved’ in an automated decision-making process – introduced by the General Data Protection Regulation (GDPR) – may pave the way for the development of practical algorithmic ethics that address virtues, consequences and norms. Shedding light on the assumptions built into the algorithm or disclosing the code of the system or information about its logic demands a careful examination of the relevant rules concerning intellectual property rights that may set limits on accessibility.

To conclude, EU policy-makers have a unique opportunity to lead the world in the ethical regulation of the digital revolution, by promoting the development of a general ethical framework governing the design, implementation and development of algorithms. These should remain under human oversight and control and be responsive to bias complaints and to the findings of reports on other undesired effects.

Read this At a glance on ‘What if algorithms could abide by ethical principles?‘ on the Think Tank pages of the European Parliament.

E-commerce has given shoppers the ability to purchase products on demand and at competitive prices. Educating consumers to reduce, reuse, dispose and recycle packaging from e-commerce goods they receive is a growing priority.

The Commission, Council and Parliament have agreed to facilitate the use of organic fertilisers, for which there has been no regulatory framework so far. Fertilisers will also have to contain less heavy metal in the future.

We must not undervalue what a massive step the European Parliament vote represents. The hard work has paid off. We can take a moment to celebrate, but the hard work begins again for finalising strong protection for European whistleblowers.

One week after escaping to Hungary, Macedonia's former prime minister Nikola Gruevski has been granted asylum there. In his home country he had been found guilty of corruption and sentenced to two years in prison. Further legal proceedings are pending. While some commentators agree that Gruevski should receive asylum, others don't know whether to laugh or cry.

Shortly before the EU leaders are due to meet on Sunday to sign the Brexit deal Spain has called for last-minute changes to the agreement. It has threatened to block the deal unless bilateral talks are held on the future of Gibraltar. France, too, is calling for more concessions on fishing rights. Are changes to the 600-page Brexit deal imminent?