JURI

MOTION FOR A RESOLUTION BY

Submitted by: Adeli Arian (CY), Demi Asvesta(CY), Anastasia Barker (CY), Georgia Ioannou (CY), Parya Kananni (CY), Yerasimos Poumos (CY), Eleni Protopapa(CY), Nayia Aza (Chairperson, CY), Andreas Tavros (Chairperson, CY)

A. Concerned that bias in AI recruiting programs is furthering the gender and racial inequality gap in employment, especially in STEM related fields,

B. Noting that the Machine Risk Assessment exposed systematic racial bias against people of color, highlighting: a. the lack of data entered in the algorithm's database, b. the lack of transparency,

C. Acknowledging patient distrust in AI performing medical procedures,

D. Deeply concerned by the industrial demands to implement AI systems and take out the human factor in decision-making,

E. Alarmed that most of the jobs getting replaced by AI technology are low-paid,

F. Anxious that 33% of panel judges of a 2014 Turing Experiment 65 were concerned by ethical complications that may arise through the use of AI systems,

G. Noting the lack of emotional intelligence of the AI system on decision-making, and morality situations,

H. Referring to the Cambridge Analytica Scandal, where social media companies used the public's personal data without consent to influence global politics and decision-making;

65 The Turing test is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.

1.

2. 3. 4. 5. 6.

Encourages the European Commision to require that the AI used for the process of job admissions: a. focuses on the qualification or education of a candidate and not data that could result in biases, b. eliminates the need for people to send in pictures, c. allows for exemptions where necessary;

Suggests the European AI Alliance 66 : a. ensures that AI systems are being tested thoroughly at least twice a year, b. checks that data used to train AI in the employment sector is a representative sample of the population by ensuring that the data sets are large enough and by confirming that there is racial and gender diversity when it comes to data

entered; Further asks Member States to provide a more tailored experience for patients in public and private healthcare by giving them the option to be treated by a doctor only or a

doctor in conjunction with an algorithm; Urges the European Commission to utilise the Employment and Social Innovation (EaSI)67 programme to ensure employment by: a. providing training to reskill the workers that will be replaced by AI, b. prioritising unemployment benefits to workers who lose their jobs to AI, c. supporting good quality and affordable education, and training in STEM fields,

d. providing free training programs around AI technology; Asks Member States wishing to employ AI in their justice systems to establish algorithms prioritising the severity of the crime committed and the accused person’s

crime history and not data that could result in further biases; Appeals to the Council of Europe to pass legislation prohibiting governments employing AI in the criminal justice system from accessing a person's gender or ethnicity;

66 The AI Alliance is a multi-stakeholder forum launched in June 2018 in the framework of the European Strategy on Artificial Intelligence. 67 The Employment and Social Innovation (EaSI) programmeis a financing instrument at EU level to promote a high level of quality and sustainable employment, guaranteeing adequate and decent social protection, combating social exclusion and poverty and improving working conditions.

7. 8. 9.

Calls upon the European Commission to support the progress and development of AI by: a. providing financial support through subsidies to companies that develop such technologies, b. making sure that public datasets made available by European Agencies are

regularly updated; Recommends Member States to collaborate with the High Level Expert Group on Artificial Intelligence (HLEG AI) 68 to improve public perception and awareness by educating the public on the progress of these technologies and how they work to ensure there are no misconceptions around them through TV programs such as Euro-news and

school syllabus within IT class; Requires the European Commission to guarantee that any companies using AI clearly state it to the user;

10. Invites the HLEG AI to compile reports highlighting the issues involving non-verbal tasks 69 , automated tasks such as self-driving cars, and executive tasks for which user override should be prioritised;

11. Advises Member States to: a. employ a team of cyber security experts, readily available to deploy to companies in order to troubleshoot and address technical flaws with the digital systems in use, b. create cross functional groups of technical experts to assist in assessing and overcoming potential obstacles the public will face in the development of Artificial Intelligence.

68 High Level Expert Group on Artificial Intelligence is a group of scientists, industry stakeholders and civil society representatives set up by the European Commission and was charged with the task of drafting Ethics Guidelines for Trustworthy AI, which was presented in 2019 and provides a basic framework for the implementation of ethical and robust AI. 69 For example, a Google Images algorithm categorised people of colour as Gorillas.