개최일시

주 제

주요내용

2022. 9. 20.(화)

14:00 ~ 17:00

Validating and Auditing AI from the IPR perspective

Artificial Intelligence (AI) is adopted in many businesses. However, adoption lacks behind for use cases with regulatory or compliance requirements, as validation and auditing of AI is still unresolved. The lecture will focus on this issue and the problem of AI’s opaqueness (i.e., ”black box”) as well as on the challenges for auditors who need to validate the correct workings of the underlying algorithms (e.g., no biased data, features suitable for the business problem etc.). Explainable AI (XAI) will be presented as one promising approach to make AI transparent, supporting auditing while possibly also increasing users’ trust. Further, the lecture will discuss related challenges using industry use cases.

2022. 9. 21.(수)

14:00 ~ 17:00

Securing IPR when designing Data-Driven Business Models

Data-driven business models are one promise of data-driven technologies, and they have huge impacts on innovation process and business value creation. First, the lecture will discuss the core elements of data-driven business models as well as approaches for ideation and establishment. Second, little is known about the associated risks related to data-driven business models, especially for established companies. In this regard especially intellectual property is at risk as this can be reengineered from big data sets as data analytics techniques progress, technical solutions for reverse engineering knowledge and protecting knowledge continue to evolve. The risks and examples are discussed in the lecture as well as that the choice of value object can be a protection measure for the intellectual property.