Studies in computational intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 245 - 256
Published: Jan. 1, 2024
Language: Английский
Informatics, Journal Year: 2024, Volume and Issue: 11(3), P. 58 - 58
Published: Aug. 9, 2024
This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, societal inequalities. The ability to produce convincing deepfakes synthetic media, which threaten foundations truth, trust, democratic values, exacerbates these problems. combines perspectives from various disciplines, including education, healthcare, underscoring need for systems that promote equity do not perpetuate social It advocates proactive approach development AI, emphasizing necessity establishing policies, guidelines, frameworks prioritize human rights, fairness, transparency. calls multidisciplinary dialogue among policymakers, technologists, researchers ensure responsible conforms values standards. stresses urgency addressing in socially beneficial ethically sound manner, contributing significantly discourse on managing AI’s implications modern digital era. study highlights theoretical practical suggests number future research directions.
Language: Английский
Citations
36
Published: Jan. 1, 2024
This paper provides a systematic review and analysis of the ethical challenges posed by generative artificial intelligence (AI), using an interdisciplinary approach. It highlights significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, societal inequalities, all exacerbated AI's ability to create highly realistic deepfakes synthetic media that challenge essence truth, trust, democratic values. The study integrates perspectives from education, media, healthcare offer comprehensive dilemmas associated with AI. emphasizes need for AI systems are equitable do not perpetuate advocating proactive approach development. underscores importance establishing policies, guidelines, frameworks prioritize human rights, fairness, transparency. calls multidisciplinary dialogue among policymakers, technologists, researchers foster responsible development aligns values standards. urgent advocates thoughtful responses raised champions technologies in socially beneficial ethically manner, making contribution discourse on navigating dimensions today's digital landscape.
Language: Английский
Citations
15
AI & Society, Journal Year: 2024, Volume and Issue: 39(6), P. 3017 - 3029
Published: Jan. 12, 2024
Language: Английский
Citations
11
Neurocomputing, Journal Year: 2024, Volume and Issue: 582, P. 127468 - 127468
Published: March 12, 2024
Language: Английский
Citations
8
AI and Ethics, Journal Year: 2024, Volume and Issue: unknown
Published: April 11, 2024
Abstract This work proposes a comprehensive research agenda to empirically evaluate the real-world impacts of European Union’s Digital Services Act (DSA) on combating online disinformation. It provides background DSA’s context, mechanisms, timeline, and expected effects platforms situate need for rigorous impact assessment. A detailed legal, technical, psychological, behavioral ethical critique reveals meaningful gaps in DSA requiring ongoing regulatory refinement oversight. Most critically, paper puts forth an encompassing framework spanning computational analytics, interviews, ethnography, surveys, discourse analysis mixed methods rigorously assess multi-dimensional complex factors enabling disinformation proliferation. Priorities include evaluating notice-and-takedown efficacy, advertising transparency improvements, risk assessment outcomes, oversight integration, procedural shifts platform governance. Coordinated efforts between researchers, regulators are needed address methodological challenges around isolating amidst evolving EU landscape, constrained data access from platforms, difficulties generalizing findings across sociotechnical diversity national contexts Member States.
Language: Английский
Citations
6
Philosophy & Technology, Journal Year: 2024, Volume and Issue: 37(2)
Published: April 20, 2024
Abstract This paper discusses some societal implications of the most recent and publicly discussed application advanced machine learning techniques: generative AI models, such as ChatGPT (text generation) DALL-E (text-to-image generation). The aim is to shift attention away from conceptual disputes, e.g. regarding their level intelligence similarities/differences with human performance, focus instead on practical problems, pertaining impact that these technologies might have (and already have) societies. After a preliminary clarification how works (Sect. 1), what kind transparency ought be required for business model behind commercial exploitation 2), role user-generated data in determining performance it should inform redistribution resulting benefits 3), best way integrating systems creative job market properly negotiate 4), “cognitive extension” offered by we embrace, type resist monitor 5). last part summarizes main conclusions this analysis, also marking its distance other, more apocalyptic approaches dangers society.
Language: Английский
Citations
6
Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 281 - 332
Published: July 26, 2024
Protecting AI in web applications is necessary. This domain a composite of technology and huge scope with good prospects immense difficulties. chapter covers the landscape security issues advancing generative techniques for integration into development frameworks. The initial section on development—a conversation subtleties AI-based methods. In literal stance, offers 13 ways to approach it. Among threats are those that introduce related deployments, which illustrate why it vital defenders infrastructure owners implement mitigation measures proactively. pertains privacy data lessons securing preventing vulnerability. explores attacks, model poisoning, bias issues, defence mechanisms, long-term strategies. Additionally, Service A promotes transparency, explainability, compliance applicable laws while structuring methodology deployment methods/operation. text outlines how respond recover from incidents as provides response frameworks everyone involved managing breaches. Finally, addresses trends, possible threats, learned real-world case studies. order contribute addressing these research needs, this sheds light considerations associated suggests recommendations can help researchers, practitioners, policymakers enhance posture popular advancements used generating applications.
Language: Английский
Citations
4
Published: Jan. 21, 2025
Citations
0
Advances in social networking and online communities book series, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 94
Published: Jan. 31, 2025
Cyberbullying has become a very significant issue in today's digital age, and its victims are spread over all the online platforms. This chapter focuses on how Artificial Intelligence is transforming fight against cyberbullying. It discusses cutting-edge techniques strategies used to detect harmful behavior online, harnessing power of natural language processing (NLP), machine learning, deep learning. The explains AI systems process text, images, multimedia content abusive or interactions. some key challenges such as limitations dataset, bias algorithms, requirement for real-time detection. Further, innovative approaches that can be improving accuracy scalability detection while simultaneously addressing critical ethical privacy concerns. With integration technology careful strategies, this predicts safer more inclusive space all.
Language: Английский
Citations
0
Published: April 23, 2025
Language: Английский
Citations
0