Moral Normativity in an Interdisciplinary Perspective: Humans, Animals & Artificial Intelligence

Cover\nMoral Normativity in Humans, Animals & Artificial Intelligence. An Introduction\nThe transition from might to right: male-male conflict and the evolution of Homo duplex\n	1. Repression of competition: a critical condition for the evolution of cooperation.\n	2. Reduction of competition among males in humans\n	3. Self-domestication: evidence for the execution of alpha males in the Pleistocene.\n	4. Implication of communally approved execution for the evolution of morality.\n	5. Intergroup competition: the traditional hypothesis\n	6. Sex differences in the origin and dynamics of the moral system\n	7. Morality and groupishness\n	8. Conclusion: the transition from Might to Right and the emergence of Homo duplex\nNorms, Rights, Obligations: An Attempt at Empirical Reduction\n	1. Introduction\n	2. A conceptualization for »norm« and »normative behavior«, and its theorical premises\n	3. On some types of normative emotion and the norms, rights, and obligations that they give rise to\n		3.1. Anger, indignation, and disgust\n			3.1.1. Two types of aggression and their socialization\n				3.1.1.1. Anger\n				3.1.1.2 Indignation\n				3.1.1.3 Disgust\n		3.2 Guilt, shame, and pride\n			3.2.1. Why grouping them together\n				3.2.1.1 Guilt\n				3.2.1.2 Shame\n				3.2.1.3 Pride\n	4. Conclusion\nThe Normativity of Norms\n	1. Introduction\n	2. Epistemic norms\n	3. Practical norms\nThe Ethnologist’s Judgment: Raymond Aron and Maurice Merleau-Ponty on Interpreting Culture\n	Part One. Raymond Aron and the Ethnologist’s Judgment\n	Part Two. Merleau-Ponty and Social Anthropology\nArtificial Intelligence and Quasi-Normativity: Some Indications for a Solution to the Normative Question in the Field of AI Ethics\n	1. Normativity: from humans to artificiaI intelligence\n	2. The normative question: some preliminary remarks\n	3. Digital normativity & artificial intelligence\n	4. Artificial intelligence from a postphenomenological perspective and the notion of quasi-normativity. Some indications for a solution to the normative question in the field of AI ethics\n	5. Brief conclusions: the hybrid origin of normativity and AI\nOn the Human-Compatible Approach to the Alignment Problem: A Research Program\n	1. Introduction\n	2. The Human-Compatible Approach: the Basics\n		2.1 AGI, Alignment, Reinforcement Learning\n		2.2 The Human Compatible Approach\n	3. Problems with the human compatible framework.\n	4. An Outline for some Solutions\n		4.1 Some Research Objectives in a Programmatic Spirit.\n			Case 1: Paperclip Scenario\n			Case 2: Self-driving cars and the trolley problem\n		4.2. Methodological Remarks\n	5 Conclusion and Further Work\nAbstracts\nList of Contributors