AI: the future of humanity (original) (raw)

The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences

International Conference on Advances in Computing and Technology (ICACT–2020), 2020

Recent development in AI has enabled the expansion of its application to multiple domains. From medical treatment, gaming, manufacturing to daily business processes. A huge amount of money has been poured into AI research due to its exciting discoveries. Technology giants like Google, Facebook, Amazon, and Baidu are the driving forces in the field today. But the rapid growth and excitement that the technology offers obscure us from looking at the impact it brings on our society. This short paper gives a brief history of AI and summarizes various social, economic and ethical issues that are impacting our society today. We hope that this work will provide a useful starting point and perhaps reference for newcomers and stakeholders of the field.

Artificial Intelligence's Societal Impacts, Governance, and Ethics

SSRN Electronic Journal, 2019

| 2 especially prominent. For example, the rate and character of technological change are shaped not just by scientific knowledge but also by the economic, policy/legal, and social/cultural conditions that determine relevant actors' incentives and opportunities. Societal impacts are not intrinsic to characteristics of technology, but depend strongly on how it is developed, integrated into products and services, and used-and how people adjust their behavior around it: As Kranzberg's first law of technology tells us, "Technology is neither good nor bad; nor is it neutral." 1 Together, the conjunction of rapid technical change and uncertain uses and responses challenge efforts to govern the associated impacts, so governance often merely aims to mitigate the worst impacts after the fact. Even when societal impacts are profound, they tend to emerge gradually in response to repeated adaptations of technology, deployment, and behavior, and are thus difficult to project, assess, or manage in advance. These broad parallels with prior areas of technological advance and associated societal concerns are real, but there are also reasons to expect that AI may be different, and more serious, in its impacts and implications. What is popularly called "AI" is not one thing, but a cluster of multiple algorithmic methods, some new and some old, which are linked to parallel advances in the scale and management of data, computational capacity, and multiple related application areas. This set of advancing capabilities is diffuse, labile, and hard to define-a particular challenge to governance, since the ability to workably define something is normally a precondition for any legal or regulatory response. AI is also foundational, potentially able to transform multiple other technologies, research fields, and decision areasto the extent that its impact has been credibly compared to that of electricity or fossil fuels in prior industrial revolutions. AI's societal impacts thus present deep uncertainties, for good or ill. Expert views of

AI Ethics: Chosen Challenges for Contemporary Societies and Technological Policymaking

2023

Artificial Intelligence (AI) is a rapidly advancing technology that permeates human life at various levels. It evokes hopes for a better, easier, and more exciting life, while also instilling fears about the future without humans. AI has become part of our daily lives, supporting fields such as medicine, customer service, finance, and justice systems; providing entertainment, and driving innovation across diverse fields of knowledge. Some even argue that we have entered the “AI era.” However, AI is not solely a matter of technological progress. We already witness its positive and negative impact on individuals and societies. Hence, it is crucial to examine the primary challenges posed by AI, which is the subject of AI ethics. In this paper, I present the key challenges that emerged in the literature and require ethical reflection. These include the issues of data privacy and security, the problem of AI biases resulting from social, technical, or socio-technical factors, and the challenges associated with using AI for prediction of human behavior (particularly in the context of the justice system). I also discuss existing approaches to AI ethics within the framework of technological regulations and policymaking, presenting concrete ways in which ethics can be implemented in practice. Drawing on the functioning of other scientific and technological fields, such as gene editing, the development of automobile and aviation industries, I highlight the lessons we can learn from how they function to later apply it to how AI is introduced in societies. In the final part of the paper, I analyze two case studies to illustrate the ethical challenges related to recruitment algorithms and risk assessment tools in the criminal justice system. The objective of this work is to contribute to the sustainable development of AI by promoting human-centered, societal, and ethical approaches to its advancement. Such approach seeks to maximize the benefits derived from AI while simultaneously mitigating its diverse negative consequences.

Towards a framework for understanding societal and ethical implications of Artificial Intelligence

2020

Artificial Intelligence (AI) is one of the most discussed technologies today. There are many innovative applications such as the diagnosis and treatment of cancer, customer experience, new business, education, contagious diseases propagation and optimization of the management of humanitarian catastrophes. However, with all those opportunities also comes great responsibility to ensure good and fair practice of AI. The objective of this paper is to identify the main societal and ethical challenges implied by a massive uptake of AI. We have surveyed the literature for the most common challenges and classified them in seven groups: 1) Non-desired effects, 2) Liability, 3) Unknown consequences, 4) Relation people-robots, 5) Concentration of power and wealth, 6) Intentional bad uses, and 7) AI for weapons and warfare. The challenges should be dealt with in different ways depending on their origin; some have technological solutions, while others require ethical, societal, or political answ...

Artificial Intelligence in the 21st Century: Opportunities, Risks and Ethical Imperatives

2024

Artificial Intelligence (AI) has swiftly become a revolutionary power, restructuring multiple aspects of modern society. From ubiquitous virtual assistants to groundbreaking developments in autonomous vehicles, AI technologies offer unprecedented opportunities for innovation and progress. Despite these opportunities, there are significant risks and ethical considerations that must be carefully navigated to ensure responsible AI development and deployment. Challenges such as job displacement, algorithmic bias, and privacy concerns necessitate proactive mitigation strategies. The potential emergence of super intelligent AI raises existential questions, accentuating the importance of ethical principles and governance frameworks in guiding AI advancements. By fostering transparency, accountability, and ethical practices, we can harness the transformative power of AI while mitigating risks and safeguarding societal well-being. This paper examines the opportunities, risks, and ethical imperatives of AI, offering insights into navigating the evolving landscape of artificial intelligence in the modern era.

The Future Impact of Artificial Intelligence on Humans and Human Rights

Ethics & International Affairs

What are the implications of artificial intelligence (AI) on human rights in the next three decades? Precise answers to this question are made difficult by the rapid rate of innovation in AI research and by the effects of human practices on the adaption of new technologies. Precise answers are also challenged by imprecise usages of the term “AI.” There are several types of research that all fall under this general term. We begin by clarifying what we mean by AI. Most of our attention is then focused on the implications of artificial general intelligence (AGI), which entail that an algorithm or group of algorithms will achieve something like superintelligence. While acknowledging that the feasibility of superintelligence is contested, we consider the moral and ethical implications of such a potential development. What do machines owe humans and what do humans owe superintelligent machines?

Artificial Intelligence's Effects on Human Society and Ethical

Artificial intelligence (AI) is a multifaceted tool that allows individuals to reevaluate how we combine knowledge, analyze data, and apply the ensuing insights to improve decision-making. Already, it is revolutionizing all spheres of human endeavor. The industrial revolution (IR) 4.0, sometimes referred to as artificial intelligence (AI), will alter not just how we carry out our daily activities and interact with others, but also how we perceive ourselves. This article will first define AI, then analyze how it has affected the industrial, social, and economic developments that have affected humanity in the twenty-first century, before proposing a set of ethical guidelines for AI. The IR1.0, or the IR of the 18th century, significantly altered society without directly affecting interpersonal interactions. However, contemporary AI has a significant impact on our daily activities as well as how we interact with one another. In order to meet this problem, new AI bioethics concepts must be taken into consideration and established. One issue with AI is that its "intelligence" and objectives have not yet been clearly defined, which causes confusion when comparing AI to other disciplines. In this article, we dispel popular myths and misconceptions about machine learning and statistics in connection to the desired and existing status of AI. We hope that by removing the fog of obscurity surrounding AI, we can see its true face.

The Ethics of Artificial Intelligence: exacerbated problems, renewed problems, unprecedented problems

Artificial intelligence (AI) is rapidly reshaping our world. As AI systems become increasingly autonomous and integrated into various sectors, fundamental ethical issues such as accountability, transparency, bias, and privacy are exacerbated or morph into new forms. This introduction provides an overview of the current ethical landscape of AI. It explores the pressing need to address biases in AI systems, protect individual privacy, ensure transparency and accountability, and manage the broader societal impacts of AI on labour markets, education, and social interactions. It also highlights the global nature of AI's challenges, such as its environmental impact and security risks, stressing the importance of international collaboration and culturally sensitive ethical guidelines. It then outlines three unprecedented challenges AI poses to copyright and intellectual property rights; individual autonomy through AI's "hypersuasion"; and our understanding of authenticity, originality, and creativity through the transformative impact of AI-generated content. The conclusion emphasises the importance of ongoing critical vigilance, imaginative conceptual design, and collaborative efforts between diverse stakeholders to deal with the ethical complexities of AI and shape a sustainable and socially preferable future. It underscores the crucial role of philosophy in identifying and analysing the most significant problems and designing convincing and feasible solutions, calling for a new, engaged, and constructive approach to philosophical inquiry in the digital age.

Ethical Aspects of the Impact of AI: the Status of Humans in the Era of Artificial Intelligence

Society, 2021

On the one hand, AI is a functional tool for emancipating people from routine work tasks, thus expanding the possibilities of their self-realization and the utilization of individual interests and aspirations through more meaningful spending of time. On the other hand, there are undisputable risks associated with excessive machine autonomy and limited human control, based on the insufficient ability to monitor the performance of these systems and to prevent errors or damage (Floridi et al. Minds & Machines 28, 689-707, 2018). In connection with the use of ethical principles in the research and development of artificial intelligence, the question of the social control of science and technology opens out into an analysis of the opportunities and risks that technological progress can mean for security, democracy, environmental sustainability, social ties and community life, value systems, etc. For this reason, it is necessary to identify and analyse the aspects of artificial intelligence that could have the most significant impact on society. The present text is focused on the application of artificial intelligence in the context of the market and service sector, and the related process of exclusion of people from the development, production and distribution of goods and services. Should the application of artificial intelligence be subject to value frameworks, or can the application of AI be sufficiently regulated by the market on its own?