5 Amendments of Annika BRUNA related to 2020/2216(INI)
Amendment 1 #
Draft opinion
Paragraph 1
Paragraph 1
1. Recalls that women account for 30 % of the technology workforce and 17 % of ICT specialists in Europe, and that the EU economy would be boosted by EUR 16 billion a year if women technology graduates followed through to digital jobs at the same rate as men; stresses, however, it is only natural that men and women should have differing preferences and that striving for strict parity in professions is counterproductive;
Amendment 7 #
Draft opinion
Paragraph 1 a (new)
Paragraph 1 a (new)
1a. Points out that women bring a different and constructive approach to the design, development and implementation of technologies;
Amendment 14 #
Draft opinion
Paragraph 2
Paragraph 2
2. Highlights that gender equality is a core principle of the European Union and should be reflected in all EU policies; recalls that women’s participation in the digital economy is crucial to shaping a flourishing digital society and to boosting the EU’s digital internal market; stresses that women's participation must be voluntary and be encouraged by raising awareness of training and jobs in the digital economy and of the opportunities that they represent, rather than by pursuing ideological objectives;
Amendment 18 #
Draft opinion
Paragraph 3
Paragraph 3
3. Calls on the Commission to continue addressing the gender gap within the ICT sector and to establish policies to increase the participation of women in science, technology, engineering and mathematics (STEM) and AI, and to advocate measures in education and employment in the digital sector in order to achieve this; points out, however, that policies involving quotas or positive discrimination run counter to the principle of meritocracy and undermine the legitimacy of the categories of people to whom they apply; takes the view that measures of this kind should not be introduced;
Amendment 36 #
Draft opinion
Paragraph 4
Paragraph 4
4. Considers that AI can significantly contribute to promoting gender equality, provided that an appropriate legal framework is developed, conscious and unconscious biases are eliminated and the principles of gender equality are respected; stresses the lack of diversity in the AI sector within teams of developers and engineers, and the importance of using sex- disaggregated data when developing products, AI standards, algorithms and applications;