B.A., M.Sc., MBA Jesse de Jesus de Pinho Pinhal
Doctoral Fellow
Professorship of Ethics of Artificial Intelligence
Office address:
Akademiestraße 7
Room 207
80799 Munich
Jesse de Jesus de Pinho Pinhal is a doctoral candidate at the Professorship of Ethics of Artificial Intelligence and a junior member of the Munich Centre for Machine Learning, where they serve as Diversity Representative. They work under the supervision of Dr Benjamin Lange and Professor Sven Nyholm. Their doctoral research lies at the intersection of ethics and (social) epistemology, examining Artificial Intelligence (AI) dialogue agents. Central to their work are questions such as: What would an ideal AI dialogue agent look like? and How do AI dialogue agents reshape our understanding of key ethical and epistemological concepts, such as trust, recognition, testimony, persuasion, and openness to otherness?
Their prior research investigated gaps between human judgement and algorithmic predictions, as well as issues of fairness, equity, and justice in algorithmic decision-making. It also examined the normative implications of concepts such as `bias' and `accuracy'. These topics encompass algorithmic bias, fairness and audit practices, and the principles of accountability, explainability, and transparency in the context of opaque (`black-box') machine learning systems. Jesse was a Visiting Student at the Centre for the Future of Intelligence, University of Cambridge, where they conducted research on the scalability of computing applications. In their spare time, they enjoy bouldering, hiking, and reading.
Jesse holds an MSc in Engineering from a French Grande École, an MBA in International Management from ESCP Business School, and a BA in Philosophy. Their professional background spans diverse sectors, including technology, investment, and insurance.
The ethics of Artificial Intelligence (AI); the ethics of dialogue and communication; artificial moral and epistemological agents; collective ethics; social epistemology; fairness, accountability, and transparency in AI; and the theory of democracy.