شناسایی مسائل هوش مصنوعی مولد در سازمان‌ها با تأکید بر ابعاد اخلاقی و پایدار

نوع مقاله : مقاله پژوهشی

نویسنده

گروه مدیریت فناوری اطلاعات، دانشگاه پیام نور، تهران ، ایران

10.22081/jare.2025.72615.2076

چکیده

با رشد شتابان فناوری‌های هوش مصنوعی مولد و گسترش روزافزون کاربردهای آن در حوزه‌های گوناگون، ضرورت بررسی پیامدها و چالش‌های ناشی از به‌کارگیری این فناوری بیش از پیش آشکار شده است. هدف این پژوهش شناسایی و تحلیل چالش‌های به‌کارگیری هوش مصنوعی مولد در سازمان‌ها بود. رویکرد پژوهش کیفی و مبتنی بر تحلیل مضمون بوده و داده‌ها از طریق مصاحبه‌های نیمه‌ساختاریافته با خبرگان گردآوری شد. یافته‌ها نشان داد که چالش‌های شناسایی‌شده در قالب شش مضمون اصلی شفافیت و پاسخگویی، حقوقی، امنیتی و حاکمیتی، انسانی و فرهنگی، کیفیت و اعتبار محتوا و اقتصادی و عملیاتی دسته‌بندی می‌شوند. این شش حوزه در مجموع ۲۴ خرده‌مضمون را شامل می‌شوند که طیفی از مسائل فنی، حقوقی، سازمانی و اخلاقی را پوشش می‌دهند. بررسی عمیق‌تر نشان داد که بسیاری از این چالش‌ها ناشی از نبود چارچوب‌های حکمرانی اخلاقی و شفاف، ضعف کیفیت و تنوع داده‌های آموزشی، ابهام در فرآیند تصمیم‌گیری مدل‌ها، و عدم آمادگی سازمان‌ها از نظر فرهنگ و ساختار برای پذیرش فناوری‌های نوین است. نتایج این پژوهش می‌تواند به‌عنوان راهنمای عملی برای مدیران، سیاست‌گذاران و توسعه‌دهندگان در مسیر بهره‌گیری مسئولانه و پایدار از هوش مصنوعی مولد مورد استفاده قرار گیرد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Identifying and Managing the Challenges of Generative Artificial Intelligence in Organizations with an Emphasis on Ethical and Sustainability Aspects

نویسنده [English]

  • Sanaz Shafiee
Department of Information Technology Management, Payame Noor University, Tehran, Iran.
چکیده [English]

With the rapid growth of generative artificial intelligence (AI) technologies and their expanding applications in various domains, the need to examine the consequences and challenges of employing this technology has become increasingly evident. The aim of this study was to identify and analyze the challenges of implementing generative AI in organizations. This research employed a qualitative approach using thematic analysis, with data collected through semi-structured interviews with experts. The findings revealed that the identified challenges can be categorized into six main themes: transparency and accountability; legal, security, and governance issues; human and cultural aspects; content quality and credibility; and economic and operational considerations. These six areas encompass 24 sub-themes that address a wide range of technical, legal, organizational, and ethical issues. Further analysis showed that many of these challenges stem from the absence of clear and ethical governance frameworks, poor quality and lack of diversity in training data, ambiguity in model decision-making processes, and organizations’ unpreparedness in terms of culture and structure to adopt emerging technologies. These findings can serve as a practical guide for managers, policymakers, and developers in the responsible and sustainable adoption of generative AI.

کلیدواژه‌ها [English]

  • Generative Artificial Intelligence
  • Technology Ethics
  • Data Governance
  • Organizational Challenges
  • Digital Sustainability

مراجع

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  • تاریخ دریافت: 22 مرداد 1404
  • تاریخ بازنگری: 14 شهریور 1404
  • تاریخ پذیرش: 30 شهریور 1404

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