The ethics of ChatGPT – Exploring the ethical issues of an emerging technology

International Journal of Information Management, Journal Year: 2023, Volume and Issue: 74, P. 102700 - 102700

Published: Sept. 9, 2023

This article explores ethical issues raised by generative conversational AI systems like ChatGPT. It applies established approaches for analysing ethics of emerging technologies to undertake a systematic review possible benefits and concerns. The methodology combines identified Anticipatory Technology Ethics, Ethical Impact Assessment, Issues Emerging ICT Applications with AI-specific from the literature. These are applied analyse ChatGPT's capabilities produce humanlike text interact seamlessly. analysis finds ChatGPT could provide high-level societal benefits. However, it also raises significant concerns across social justice, individual autonomy, cultural identity, environmental issues. Key high-impact include responsibility, inclusion, cohesion, safety, bias, accountability, impacts. While current discourse focuses narrowly on specific such as authorship, this systematically uncovers broader, more balanced range worthy attention. Findings consistent research industry priorities AI. Implications need diverse stakeholder engagement, considering risks holistically when developing applications, multi-level policy interventions promote positive outcomes. Overall, demonstrates that applying technology methodologies can rigorous, comprehensive foundation guide action around impactful paper advocates sustaining broad, perspective use cases unfold realize while addressing downsides.

Language: Английский

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Exploring Artificial Intelligence in Academic Essay: Higher Education Student's Perspective

International Journal of Educational Research Open, Journal Year: 2023, Volume and Issue: 5, P. 100296 - 100296

Published: Oct. 20, 2023

Artificial Intelligence (AI) and academic essay writing merge to create a transformative intersection in education, each reciprocally refining reforming the other. AI, through its innovative technologies flexible learning strategies, elevates by offering dynamic, interactive settings, personalized educational journeys. This study aimed explore students' perceptions of AI usage using case design. It involved 245 undergraduate students from 25 tertiary institutions Eastern Central Indonesian provinces, with data collected via Google form gain insights into attitudes toward tools essays. Findings indicated positive reception AI-powered tools, acknowledging their benefits grammar checks, plagiarism detection, language translation, outlines. was found enhance abilities, self-efficacy, understanding integrity. However, some expressed concerns about potential impacts on creativity, critical thinking, ethical practices. The emphasized balanced approach integration, where collaborates human authors, also identified popular used students. As such, research highlighted AI's significant role supporting while preserving creativity underscoring importance maintaining integration sustain ingenuity thought discourse.

Language: Английский

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Artificial intelligence for literature reviews: opportunities and challenges

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Aug. 17, 2024

Abstract This paper presents a comprehensive review of the use Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is rigorous and organised methodology that assesses integrates prior research on given topic. Numerous tools have been developed to assist partially automate process. The increasing role AI this field shows great potential providing more effective support for researchers, moving towards semi-automatic creation literature reviews. Our study focuses how techniques are applied semi-automation SLRs, specifically screening extraction phases. We examine 21 leading using framework combines 23 traditional features with 11 features. also analyse recent leverage large language models searching assisting academic writing. Finally, discusses current trends field, outlines key challenges, suggests directions future research. highlight three primary challenges: integrating advanced solutions, such as knowledge graphs, improving usability, developing standardised evaluation framework. propose best practices ensure robust evaluations terms performance, transparency. Overall, offers detailed overview AI-enhanced researchers practitioners, foundation development next-generation solutions field.

Language: Английский

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Shaping the future of AI in healthcare through ethics and governance

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 15, 2024

Abstract The purpose of this research is to identify and evaluate the technical, ethical regulatory challenges related use Artificial Intelligence (AI) in healthcare. potential applications AI healthcare seem limitless vary their nature scope, ranging from privacy, research, informed consent, patient autonomy, accountability, health equity, fairness, AI-based diagnostic algorithms care management through automation for specific manual activities reduce paperwork human error. main faced by states regulating were identified, especially legal voids complexities adequate regulation better transparency. A few recommendations made protect data, mitigate risks regulate more efficiently international cooperation adoption harmonized standards under World Health Organization (WHO) line with its constitutional mandate digital public health. European Union (EU) law can serve as a model guidance WHO reform International Regulations (IHR).

Language: Английский

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AI: the future of humanity

Discover Artificial Intelligence, Journal Year: 2024, Volume and Issue: 4(1)

Published: March 26, 2024

Abstract Artificial intelligence (AI) is reshaping humanity's future, and this manuscript provides a comprehensive exploration of its implications, applications, challenges, opportunities. The revolutionary potential AI investigated across numerous sectors, with focus on addressing global concerns. influence areas such as healthcare, transportation, banking, education revealed through historical insights conversations different systems. Ethical considerations the significance responsible development are addressed. Furthermore, study investigates AI's involvement in issues climate change, public health, social justice. This paper serves resource for policymakers, researchers, practitioners understanding complex link between humans.

Language: Английский

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Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Jan. 15, 2024

Abstract While the rise of artificial intelligence (AI) tools holds promise for delivering benefits, it is important to acknowledge associated risks their deployment. In this article, we conduct a focused literature review address two central research inquiries concerning ChatGPT and similar AI tools. Firstly, examine potential pitfalls linked with development implementation across individual, organizational, societal levels. Secondly, explore role multi-stakeholder responsible innovation framework in guiding chatbots’ sustainable utilization. Drawing inspiration from stakeholder theory principles, underscore necessity comprehensive ethical guidelines navigate design, inception, utilization emerging innovations. The findings shed light on perils various levels, including issues such as devaluation relationships, unemployment, privacy concerns, bias, misinformation, digital inequities. Furthermore, proposed Responsible Research Innovation can empower stakeholders proactively anticipate deliberate upon AI’s ethical, social, environmental implications, thus substantially contributing pursuit implementation.

Language: Английский

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Artificial Intelligence In Financial Services: Advancements In Fraud Detection, Risk Management, And Algorithmic Trading Optimization

Published: Jan. 1, 2025

Fraud detection, risk management, and algorithmic trading optimization are being revolutionized by AI in financial services. reduces false positives speeds up fraud detection spotting trends anomalies real time using advanced machine learning techniques. Financial institutions can now fight sophisticated cyber attacks with AI-powered systems that analyze massive databases detect illicit conduct unparalleled accuracy. predictive analytics changing how organizations identify mitigate risks. Institutions predict credit defaults, market swings, operational weaknesses big data AI. Natural language processing (NLP) techniques extracting insights from unstructured sources including regulatory filings news to improve decision-making. Real-time monitoring enable proactive interventions reduce losses assure compliance. is transforming trading, another breakthrough. Advanced models historical live price movements, find arbitrage opportunities, execute trades milliseconds. Reinforcement helping design adaptable algorithms respond changes, increasing profitability reducing risk. also promotes ethical transparent tactics, solving manipulation problems. This study analyses the newest applications services their disruptive influence. Generative AI, federated learning, quantum computing will further transform sector. adoption has many benefits, but privacy, bias, legal complexity must be addressed sustain progress. efficiency, resilience, creativity, creating a future where technology drives trust strategic advantage.

Language: Английский

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Artificial Intelligence In Retail And E-Commerce: Enhancing Customer Experience Through Personalization, Predictive Analytics, And Real-Time Engagement

Published: Jan. 1, 2025

AI is transforming retail and e-commerce with unprecedented personalization, predictive analytics, real-time customer involvement. AI-powered recommendation engines, chatbots, sentiment analysis tools enable customer-centric tactics as consumers want more personalized experiences. AI's capacity to analyze massive volumes of data allows merchants develop shopping experiences that boost pleasure loyalty. For instance, deep learning-based systems accurately predict client preferences, increasing conversion rates average order values. analytics changing inventory management, demand forecasting, pricing in retail. Stock levels, waste, profitability are optimized by machine learning algorithms examine historical sales data, market trends, behavior. Real-time insights dynamic models adjust instantaneously supply changes, maintaining competitiveness fast-paced e-commerce. AI-enabled engagement business-customer interactions. Conversational can answer questions instantly personally smart chatbots voice assistants, improving user experience lowering operational expenses. Visual technologies like image identification augmented reality virtual try-ons visual search, online purchasing. The use has highlighted ethical issues such privacy algorithmic fairness. Growing sustainably requires balancing consumer personalization trust. This paper examines how might improve experience, supported recent breakthroughs industry trends. It shows may purchasing while tackling implementation a digital economy.

Language: Английский

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Artificial Intelligence-Driven Customer Service: Enhancing Personalization, Loyalty, And Customer Satisfaction

Published: Jan. 1, 2025

AI-driven customer service is revolutionizing how businesses interact with customers by improving personalization, loyalty, and satisfaction through data-driven insights responsive interactions. AI technologies like machine learning (ML), natural language processing (NLP), generative models allow companies to scale experiences that match individual preferences, behaviors, needs. tools in service, such as chatbots virtual assistants, are response times issue resolution, increasing loyalty. Companies can analyze massive datasets real time using improve profiles predict future systems boost brand loyalty personalizing interactions making feel valued. Additionally, ChatGPT engagement reducing friction providing human-like responses conversational experiences. sentiment analysis help anticipate dissatisfaction assessing emotions feedback. Along AI-based solutions programs them more dynamic engaging. Businesses identify high-value customers, personalize offers, encourage repeat business predictive analytics. Despite these advances, ethical issues data privacy interaction must be addressed. As evolves, balancing automation personalized human crucial. This paper examines current trends, case studies, developments demonstrate transform environments into customer-centric, responsive, adaptable ones foster long-term satisfaction.

Language: Английский

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Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: May 18, 2023

Abstract Intelligent systems that are capable of making autonomous decisions based on input from their environment have great potential to do good, but they also raise significant social and ethical concerns. The discourse ethics artificial intelligence (AI) has covered these concerns in depth developed an array possible ways addressing them. This article argues a shortcoming this is it concentrates specific issues mitigation neglects the nature intelligent as socio-technical often described ecosystems. Building discussion AI, suggests would be beneficial come understanding what constitute responsible AI By introducing concept meta-responsibility or higher-level responsibility, proposes characteristics ecosystem fulfil, order considered ecosystem. perspective theoretically interesting because extends current discourse. It furthermore offers novel for researchers developers system helps them reflect way relate issues.

Language: Английский

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