A Feminist Perspective on Artificial Intelligence, Including Code and Conscience for Women

With the advent of AI, a new era has begun in which online communities are redefining what it means to be a member of society. The printing press, electricity, and this revolutionary technology all contribute to the maintenance of patriarchal value systems. Nevertheless, the tremendous breadth and depth of it bring attention to gender biases, which in turn reinforce prejudice and injustice. Notably, AI has opened the door to new forms of gender-based violence; for example, women face equal danger in the Metaverse and other virtual environments. Because of the anonymity that AI-powered platforms offer, criminals are able to evade accountability, which worsens the inefficiencies of legal proceedings.
This article examines the ethical dilemmas that have arisen as a result of AI's research and application, as well as its inherent biases and transparency gaps, in order to determine if AI helps or hurts feminist ethics. It seeks to answer the question of whether artificial intelligence facilitates or exacerbates gender inequality, inclusion, and equity on a global scale. The article goes on to stress the need for AI systems to incorporate principles of justice, empathy, and caring by drawing on transdisciplinary feminist ethics. Through case studies such as Joy Buolamwini's Algorithmic Justice League and the advocacy of female politicians and regulators, the research shows how women's leadership challenges structural inequities and promotes groundbreaking change in AI governance. Consistent audits of AI algorithms, openness in training data, and gender-sensitive design frameworks are some of the proactive measures advocated for in the paper as means to lessen prejudice and discrimination. This article further argues that feminist ethics can play a role in creating a more equitable and compassionate digital future by advocating for AI accountability and equality. The use of AI to empower women is presented as a matter of gender equality, but it is also seen as a means to address broader social injustices, highlighting the interconnectedness of justice. According to the results, we need to act now to make the most of AI's societal-advancing potential in a way that is equitable, transparent, and supports our common human goals.