Neuro-Symbolic Compliance: Integrating LLMs and SMT for Automated Financial Legal Analysis (AIware 2025 - Main Track) - AIware 2025

Wed 19 - Thu 20 November 2025

co-located with ASE 2025

Who

Yung Shen HSIA, Fang Yu, Jie-Hong Roland Jiang

Track

AIware 2025 Main Track

This program is tentative and subject to change.

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When

Thu 20 Nov 2025 16:50 - 16:58 at Grand Hall 1 - Responsible, Ethical, and Legal Dimensions of AIware

File attachments

Camera ready version (AIWARE_cameraready (10).pdf)	656KiB

Yung Shen HSIA

National Chengchi University

Fang Yu

National Chengchi University

Jie-Hong Roland Jiang

National Taiwan University

This program is tentative and subject to change.

Time Zone

The program is currently displayed in (GMT+09:00) Seoul.

Use conference time zone: (GMT+09:00) SeoulSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Thu 20 Nov
Displayed time zone: Seoul change

	16:50 - 17:35	Responsible, Ethical, and Legal Dimensions of AIwareMain Track at Grand Hall 1

	16:50 8m Talk		Neuro-Symbolic Compliance: Integrating LLMs and SMT for Automated Financial Legal Analysis Main Track Yung Shen HSIA National Chengchi University, Fang Yu National Chengchi University, Jie-Hong Roland Jiang National Taiwan University File Attached
	16:58 8m Talk		Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment Main Track Asma Yamani King Fahd University of Petroleum and Minerals, Malak Baslyman King Fahd University of Petroleum & Minerals, Moataz Ahmed King Fahd University of Petroleum and Minerals File Attached
	17:06 5m Talk		A Vision for Value-Aligned AI-Driven Systems Main Track Humphrey Obie Monash University
	17:11 5m Talk		Generative AI and Empirical Software Engineering: A Paradigm Shift Main Track Christoph Treude Singapore Management University, Margaret-Anne Storey University of Victoria Pre-print
	17:16 19m Live Q&A		Joint Discussion #ResponsibleAI Main Track