2025年生成式AI应用系例集报告（英）-德勤-2025_172页_8mb

Deloitte AI Institute

The Deloitte AI Institute serves as a hub for advancing artificial intelligence through collaboration with diverse stakeholders, including academia, startups, and industry experts. Its primary goals are to promote dialogue on applied AI innovation, examine implementation challenges, and foster human-machine collaboration. The institute provides actionable insights, promotes ethical AI practices, and supports organizations in making informed AI decisions.

Generative AI

Generative AI represents a significant evolution in AI capabilities, enabling machines to create novel outputs like text, code, images, audio, video, and 3D models. Unlike traditional AI, which focuses on prediction and classification, Generative AI supports innovation by simulating human-like creativity. However, it introduces risks such as bias, inaccuracy, and ethical concerns, necessitating frameworks like Trustworthy AI to ensure fairness, reliability, and accountability. These use cases aim to reduce costs, improve efficiency, and unlock new opportunities across industries, from healthcare and finance to media and consumer services.

Industry Applications

Generative AI transforms operations in key sectors:

• Consumer: Applications include personalized marketing content, trend-aware social media generation, and 24/7 customer support enhancements, driving cost savings and engagement.
• Energy, Resources, & Industrial: Use cases range from optimizing asset maintenance and material discovery to addressing supply chain inefficiencies, fostering sustainability and operational resilience.
• Financial Services: Enables smart contracts, fraud detection, and automated trading, while reducing human effort through tools like code generation and data synthesis.
• Government & Public Services: Powers open-source intelligence reporting, citizen-facing chatbots, and policy analysis, improving accessibility and efficiency while managing privacy risks.
• Life Sciences & Health Care: Accelerates drug discovery, clinical trials, and personalized medicine, enhancing patient outcomes and operational throughput.
• Technology, Media & Telecommunications: Facilitates content creation, language translation, and test case generation, streamlining development and customer engagement.

Risks and Responsible Use

Despite its potential, Generative AI faces challenges such as ethical bias, explainability deficits, and security vulnerabilities. Mitigation strategies include human oversight, rigorous testing, and transparent governance, ensuring AI aligns with regulatory standards like the EU AI Act.

Conclusion

Generative AI is rapidly evolving and offers transformative possibilities across industries. Organizations must embrace timely innovation while addressing risks through governance. This overview, by the Deloitte AI Institute, highlights key use cases and underscores the importance of balanced, trustworthy AI development.

For more details, contact the Deloitte AI Institute leaders or visit deloitte.com/us/AIInstitute.