13 Amendments of Chrysoula ZACHAROPOULOU related to 2020/2017(INI)
Amendment 1 #
Draft opinion
Recital A
Recital A
A. whereas gender equality is a core principle of the European Union enshrined in the Treaties, and should be reflected in all EU policies, not least in education, culture and the audiovisual; and the development of disruptive technologies such as Artificial Intelligence;
Amendment 7 #
Draft opinion
Recital A a (new)
Recital A a (new)
Aa. whereas gender equality is a core principle of the European Union enshrined in the Treaties, and should be reflected in all EU policies, not least in education, culture and the audiovisual, as well as in the development of disruptive technologies such as Artificial Intelligence; whereas significant gender bias remains in existing social norms in sectors such as education, audiovisuals and culture;
Amendment 13 #
Draft opinion
Recital B
Recital B
B. whereas gender inequalities and discrimination have been reproduced through the design, input, development and use of artificial intelligence (AI) systems; whereas incomplete datasets and incorrect bias can distort the reasoning of an AI system, and jeopardise the achievement of gender equality in society;
Amendment 17 #
Draft opinion
Recital C
Recital C
C. whereas gender inequalities are also created and replicated through the language and images disseminated by the media and AI-powered applications; whereas education, culture programmes and audiovisual contents are a fundamental tool for combatting gender stereotypes and establishing strong role models;
Amendment 22 #
Draft opinion
Recital D
Recital D
D. whereas women are significantly underrepresented in the AI sectors, either as creators, developers or consumers; whereas the full potential of women’s skills, knowledge and qualifications in the digital, AI and ICT (information, communication and technology) fields can contribute to boosting the European economy; whereas globally only 22 % of AI professionals are female; whereas the lack of women in AI development not only increases the risk of bias, but also deprives the EU of talent, vision and resources, and is therefore an obstacle to innovation; whereas gender diversity enhances female attitudes in teams, and team performance and favours the potential for innovation in public and private companies;
Amendment 27 #
Draft opinion
Recital D a (new)
Recital D a (new)
Da. whereas the EU is facing an unparalleled shortage of women in Science, Technology, Engineering and Mathematics (STEM) careers and education given that women account for 52% of the European population, yet only account for 1 in 3 of the STEM graduates; whereas despite the positive trend in the involvement and interest of females in STEM education, the percentages remain insufficient, especially considering the importance of STEM related careers in an increasing digitalized world;
Amendment 34 #
Draft opinion
Paragraph 1
Paragraph 1
1. Considers that AI has great potential to promote gender equality provided that conscious and unconscious bias are eliminated; stresses the need for AI to respect the principles and values of equality and non-discrimination between women and men; stresses, further, the importance of a risk-based approach, transparency, accountability and of continuous monitoring of existing and new algorithms;
Amendment 40 #
Draft opinion
Paragraph 2
Paragraph 2
2. Calls for policies targeted at increasing the participation of women in the fields related to science, technology, engineering and mathematics (STEM) and AI, and the adoption of a multi-level approach to address the gender gap in all levels of education and employment in the digital sector; recognises that gender stereotyping, cultural discouragement and the lack of awareness and promotion of female role models hinders and negatively affects girls' and women´s opportunities in ICT, STEM and AI related studies, careers and entrepreneurship, and leads to discrimination and fewer opportunities for women in the labour market;
Amendment 48 #
Draft opinion
Paragraph 2 a (new)
Paragraph 2 a (new)
2a. Emphasises the cross-sectoral nature of gender based discrimination, rooted in conscious or unconscious gender bias, covering the education sector, the portrayal of women in the media and advertising on-screen and off- screen, and the responsibility of the public and private sector in proactively recruiting, developing and retaining women talent and instilling an inclusive business culture;
Amendment 49 #
Draft opinion
Paragraph 3
Paragraph 3
3. Calls on the Commission and Member States to take into account AI from a gender perspective when developing policy and legislation, and, if necessary, adapt current legislation, including EU programmes; encourages Member States to enact a strategy to promote the presence of females in STEM, ICT and AI related studies and careers in relevant existing national strategies to achieve gender equality. These strategies should aim at increasing gender equality by focusing on education and qualifications, better work-life balance, equal opportunities, non- discrimination in the labour market, raising awareness of gender bias across all relevant sectors, and increasing the visibility of female role models, among others; urges the Commission to address the gender gap in STEM, ICT and AI related careers and education, and set it as a priority of the Digital Skills Package in order to promote the presence of women in all education levels, as well as in the upskilling and reskilling of the labour force;
Amendment 59 #
Draft opinion
Paragraph 4
Paragraph 4
4. Calls on the Commission and Member States to devise policy measures that fully incorporate the gender dimension, such as awareness-raising campaigns, training and curricula, which should provide information to citizens on how algorithms operate, and their impact on citizens’ daily lives; and to nurture gender-equal mindsets and working conditions that lead to the development of more inclusive technology products and work environments ;
Amendment 64 #
Draft opinion
Paragraph 5
Paragraph 5
5. Highlights the importance of the development and deployment of AI applications in the educational, cultural and audiovisual sectors in collecting more accurate and sex-disaggregated data, and applying modern machine learning de- biasing techniques, if needed, to correct stereotype gender bias, which may have negative impacts; highlights that one the most critical weaknesses of AI relates to the different types of biases it is subject to, such as gender, race or sexual orientation, as a result of already inherent human biases;
Amendment 77 #
Draft opinion
Paragraph 6 a (new)
Paragraph 6 a (new)
6a. Recalls that algorithms and AI should be "ethical by design", with no built-in bias. Media organizations should be informed about the main parameters of algorithm-based AI systems that determine ranking and search results onto third-party platforms. Likewise, users should be informed about any use of AI for decision-making in services they use and should be empowered to set their privacy setting preferences via transparent and understandable measures, directly at the service provider level;