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What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection
Get PDFIn the wake of the recent digital transformation, AI ethics has been put into practice as a means of self-regulation. Current initiatives of ethical self-regulation can be distinguished into different ethical practices, namely ethics as rule setting (codes of conduct), ethics as rule following (value-oriented development), and ethics as rule compliance checking (boards and audits). Drawing from the literature, I demonstrate that these forms of AI ethics are in constant need of normative reflection and deliberation albeit the structural conditions under which they are enacted give very little room to do so. Accordingly, the AI community should think more about how to establish institutional frameworks that can be conducive for cultivating ethics as critical reflection and deliberation
Freeing Digital Images at Last? The interplay of copyright, public domain, new technologies, and ethics in museum reproductions of visual art
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Ex-post Approaches to Privacy: Trust Norms to Realize the Social Dimension of Privacy
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Acceleration AI Ethics and the Debate between Stability AI’s Diffusion and OpenAI’s Dall-E
Get PDFOne objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI’s Diffusion and OpenAI’s Dall-E. By analyzing the divergent values underlying their opposed strategies for development and deployment, five conceptions are identified as common to acceleration ethics. Uncertainty is understood as positive and encouraging, rather than discouraging. Innovation is conceived as intrinsically valuable, instead of worthwhile only as mediated by social effects. AI problems are solved by more AI, not less. Permissions and restrictions governing AI emerge from a decentralized process, instead of a unified authority. The work of ethics is embedded in AI development and application, instead of functioning from outside. Together, these attitudes and practices remake ethics as provoking rather than restraining artificial intelligence
Moral Attribution in Moral Turing Test
Get PDFThis paper argues Moral Turing Test (MTT) developed by Allen et al. for evaluating morality in AI systems is designed inaptly. Different versions of the MTT focus on the conversational ability of an agent but not the performance of morally significant actions. Arnold and Scheutz also argue against the MTT and state that without focusing on the performance of morally significant actions, the MTT is insufficient. Morality is mainly about morally relevant actions because it does not matter how good a person is at conversing about morally relevant actions. When discussing morality, we consider an agent’s ability to perform specific actions in a morally given situation. We show that Allen et al. do not take into account the distinction between the performance of the moral attribution and the performance of the morally relevant action. This distinction gives a robust account of assessing the morality of an AI system in the MTT
Intercultural Information Ethics Applied To The Data Colonialism Concept
Get PDFThere is a universalized and socially accepted view of order and totality focused on the processing of personal data, categorizing subjects and configuring criticism in a European view that sustains the dynamics of modernity, giving rise to what is called Data Colonialism. This paper explores the relationship between Data Colonialism and Intercultural Information Ethics - IIE, focusing on whether these concepts are connected. The study argued that just as industrial capitalism transformed society by commodifying labor, data capitalism is changing society by commodifying human life through collecting, controlling, and exploiting personal data. This practice contributes to class division and digital colonialism, where digital territories become sites of extraction and exploitation. Data Colonialism and IIE both address issues of informational justice in diverse cultural contexts. IIE can provide insights into analyzing these relationships from the perspective of local cultures on privacy, informed consent, and information sharing, which differ greatly between different cultures. IIE understand and respect different cultural perspectives on information, while Data Colonialism refers to companies and governments exploiting personal data without consent and reproducing colonial power relations. An intercultural ethical approach to information can help analyze the effects of data colonialism and promote justice and equity in different cultural contexts. By recognizing these colonization processes in the digital age, in which there are ethical implications in relation to the transit of information and cultural differences, we propose to think about this complex network from the Intercultural Ethics of Information