AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population.

AI systems in medicine and healthcare are being extensively explored in prevention, diagnosis, novel drug designs and after-care. The application of AI technology in healthcare systems promises impressive outcomes such as equalising healthcare, reducing mortality rate and human error, reducing medical costs, as well as reducing reliance on social services. In the light of the WHO "Decade of Healthy Ageing", AI applications are designed as digital innovations to support the quality of life for older persons.

Gender differences in the determinants of mature entrepreneurship? The case of Germany.

Mature female entrepreneurs represent a non-traditional model of self-employed workers in both ways: in terms of gender age. The transition into self-employment for women aged 45 years and older represents a topic of aging research that still tends to be overlooked. Previous studies found ambivalent results for the issue regarding motives and entrepreneurial pathways between former employmen or unemployment-and starting one's own business and the ways in which these entrepreneurial activities are shaped by social differences (such as gender) and biographically accumulated resources and restrictions.

AI ageism: a critical roadmap for studying age discrimination and exclusion in digitalized societies.

In the last few years, we have witnessed a surge in scholarly interest and scientific evidence of how algorithms can produce discriminatory outcomes, especially with regard to gender and race. However, the analysis of fairness and bias in AI, important for the debate of AI for social good, has paid insufficient attention to the category of age and older people. Ageing populations have been largely neglected during the turn to digitality and AI.

A systematic review of existing ageism scales.

Ageism has been shown to have a negative impact on older people's health and wellbeing. Though multiple scales are currently being used to measure this increasingly important issue, syntheses of the psychometric properties of these scales are unavailable. This means that existing estimates of ageism prevalence may not be accurate.

Senior Entrepreneurship: The Unrevealed Driver for Social Innovation.

From a political and economic perspective, senior entrepreneurship seems to be the response to the demographic consequences of the aging workforce in Europe. Several policies and strategies by the European Union (EU) and the Organization for Economic Co-operation and Development (OECD) promote senior entrepreneurship by creating a favorable environment and frameworks. This article examines the role of senior entrepreneurship as a social innovation understood as a response to unmet needs of population aging in the area of economic activity.

Gender, age and migration: an intersectional approach to inequalities in the labour market.

This paper analyses the interference of three socio-demographic characteristics: gender, age and migration status on the labour market outcomes from the perspective of intersectionality theory. Concretely, we investigate whether gender and migration differences in hourly wages are observable at younger ages and whether these differences increase with age. Further, we analyse whether gender and migration interact in such a way that women with migration background suffer lower wage growth in relation to their counterparts.

Hard and soft age discrimination: the dual nature of workplace discrimination.

The paper concentrates on the problem of age discrimination in the labour market and the way it can be conceptualised and measured in a multi-disciplinary way. The approach proposed here combines two understandings of age discrimination-a sociological and legal one, what allows for a fuller and expanded understanding of ageism in the workplace. At the heart of the study is a survey carried out in Poland with a sample of 1000 men and women aged 45-65 years.