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الرئيسية > The Ethics of AI:>الوصف

The Ethics of AI: Navigating the Moral Dilemmas of Artificial Intelligence

العنوان بلغة أخرى: أخلاقيات الذكاء الاصطناعي: بحث في المعضلات الأخلاقية المرتبطة بالذكاء الاصطناعي
المصدر: المجلة العربية للنشر العلمي
الناشر: مركز البحث وتطوير الموارد البشرية - رماح
المؤلف الرئيسي: بيان، فياض محمد هاني (مؤلف)
المؤلف الرئيسي (الإنجليزية): Bayan, Fayyad Mohammed Hani
المجلد/العدد: ع66
محكمة: نعم
الدولة: الأردن
التاريخ الميلادي: 2024
الشهر: نيسان
الصفحات: 1 - 11
ISSN: 2663-5798
رقم MD: 1547166
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, HumanIndex
مواضيع:
الذكاء الاصطناعي | الرعاية الصحية | الأخلاق الرقمية
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المستخلص: لا يمكن المبالغة في أهمية الأخلاقيات في مجال الذكاء الاصطناعي، لأنها تشمل المبادئ الأساسية التي توجه الإبداع المسؤول لتقنيات الذكاء الاصطناعي ونشرها وإدارتها مع تغلغل أنظمة الذكاء الاصطناعي بشكل متزايد في كل جانب من جوانب حياتنا- من الرعاية الصحية والتعليم إلى الأمن والترفيه- فإن قراراتها وأفعالها لها آثار عميقة ليس فقط على الحقوق الفردية والخصوصية ولكن أيضا على الأعراف والقيم المجتمعية. وتشكل الاعتبارات الأخلاقية في الذكاء الاصطناعي أهمية بالغة لضمان قدرة هذه التكنولوجيات على تعزيز رفاهية الإنسان، ودعم العدالة، وحماية الحريات، بدلا من إدامة التحيز، أو تفاقم عدم المساواة، أو تقويض المؤسسات الديمقراطية، تكمن أهمية أخلاقيات الذكاء الاصطناعي في قدرتها على توفير إطار عمل للتغلب على المعضلات الأخلاقية المعقدة التي يطرحها الذكاء الاصطناعي، مثل التوازن بين الابتكار والتنظيم، وحماية الخصوصية الفردية مقابل فوائد البيانات الضخمة، ومنع إساءة استخدام الذكاء الاصطناعي.. ومن خلال إبراز المبادئ الأخلاقية، يمكن لأصحاب المصلحة- بما في ذلك المطورين وصانعي السياسات والمستخدمين العمل على تطوير تقنيات الذكاء الاصطناعي التي لا تكون متقدمة تقنيا فحسب، بل أيضا مسؤولة اجتماعيا ومتوافقة مع القيم الإنسانية، ويضمن هذا التركيز على الأخلاقيات أنه عندما تصبح أنظمة الذكاء الاصطناعي أكثر استقلالية وتكاملا في حياتنا اليومية، فإنها تفعل ذلك بطريقة شفافة وخاضعة للمساءلة وشاملة، وبالتالي تعزيز الثقة في اعتمادها واستخدامها على نطاق واسع.

The significance of ethics in artificial intelligence (AI) cannot be overstated, as it encompasses the foundational principles guiding the responsible creation, deployment, and management of AI technologies. As AI systems increasingly permeate every facet of our lives—from healthcare and education to security and entertainment—their decisions and actions have profound implications not only on individual rights and privacy but also on societal norms and values. Ethical considerations in AI are paramount to ensure that these technologies enhance human well-being, uphold fairness, and protect freedoms, rather than perpetuate biases, exacerbate inequalities, or undermine democratic institutions. The importance of AI ethics lies in its ability to provide a framework for navigating the complex moral dilemmas presented by AI, such as the balance between innovation and regulation, the protection of individual privacy versus the benefits of big data, and the prevention of AI misuse. By foregrounding ethical principles, stakeholders—including developers, policymakers, and users—can work towards the development of AI technologies that are not only technologically advanced but also socially responsible and aligned with human values. This emphasis on ethics ensures that as AI systems become more autonomous and integral to our daily lives, they do so in a manner that is transparent, accountable, and inclusive, thereby fostering trust and confidence in their widespread adoption and use. The advent of new AI technologies brings to light a series of emerging ethical dilemmas that challenge existing frameworks and demand novel considerations. One of the forefront issues is the development of advanced autonomous systems, such as self-driving vehicles and autonomous weapons, which raise significant concerns about decision-making in scenarios involving human safety and the delegation of moral responsibility. Furthermore, the rapid advancement in generative AI technologies, capable of producing highly realistic text, images, and videos, introduces dilemmas related to authenticity, misinformation, and the protection of intellectual property. These technologies blur the lines between reality and fabrication, potentially enabling the creation of convincing fake content that can undermine trust in media, influence elections, and violate personal rights. Another emerging dilemma is the use of AI in predictive policing and judicial sentencing, where algorithms might perpetuate systemic biases, affecting marginalized communities disproportionately. Moreover, the increasing integration of AI in biotechnology, including gene editing and neurotechnology, presents profound ethical questions regarding consent, privacy, and the fundamental nature of human identity and biological integrity. These dilemmas underscore the urgent need for an adaptive ethical framework that can address the nuances of these technologies, ensuring that AI development is guided by principles that prioritize human rights, dignity, and ethical integrity in the face of unprecedented technological capabilities.

To navigate the ethical complexities introduced by AI, a multifaceted approach incorporating regulatory frameworks, ethical guidelines, and proactive governance models is essential. Proposed solutions and frameworks should start with the establishment of international and national regulations that set clear boundaries for AI development and usage, ensuring that AI technologies are deployed in ways that respect human rights, privacy, and dignity. These regulations could be complemented by industry-specific standards and codes of conduct that provide detailed guidance on ethical AI practices in various sectors, such as healthcare, finance, and education. Furthermore, the adoption of ethical AI guidelines, developed in consultation with a diverse range of stakeholders including ethicists, technologists, policymakers, and the public, can help articulate broad principles that govern AI research and development. These principles should emphasize transparency, accountability, fairness, and inclusivity, ensuring that AI systems are understandable by and accessible to those they impact. To operationalize these principles, AI impact assessments and audits should be mandated, enabling regular evaluation of AI systems for potential ethical risks, biases, and unintended consequences. Additionally, the cultivation of an ethics-focused culture within organizations, supported by ethics training for AI researchers and developers, is critical to ensure that ethical considerations are integrated throughout the AI development lifecycle. Proactive governance models, such as participatory design and democratic oversight mechanisms, can further ensure that AI technologies are developed and deployed in alignment with societal values and needs. Finally, fostering interdisciplinary collaboration among computer scientists, ethicists, sociologists, and legal scholars can enhance our understanding of AI's ethical implications and inform the development of robust solutions and frameworks. Together, these proposed solutions aim to ensure that AI advances contribute positively to society, addressing ethical challenges proactively and ensuring that technology serves humanity's best interests.
ISSN: 2663-5798

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