When utilizing machine learning and artificial intelligence in the development of people analytics solutions, it’s vital to commit to an ethical compass. We need to take great care not to create a decision making system which is discriminating or biased. The success of people analytics solutions depend upon trust, and that trust will exist only if developers adhere to responsible, ethical design principles.
- The significance of artificial intelligence in People Analytics – Collaboration of humans and machines
- The ethical development principles of AI and ML – Prevent the creation of biased data and information models
Miikka Åkerman – Sr Enterprise Architect | Workday
Miikka Åkerman has a background in Analytics and Corporate Performance Management (CPM) from the past two decades. While working in architect roles Miikka has maintained a hands-on approach to his work and aimed to absorb and understand the impact of new technologies and solutions.
Jouni Alakoski – Sr Solution Consultant | Workday
Jouni Alakoski is an analytics solution consultant with 17 years of experience in field of analytics as a business data analyst, technical consultant and analytics solution architect. Before joining Workday he has worked for SAP and TeliaSonera.
Day 2 | 28th of April
Jouni Alakoski – Sr Solution Consultant | Workday, Miikka Åkerman – Sr Enterprise Architect | Workday