What is ethical, or responsible, artificial intelligence (AI) ? In essence, we can identify three concerns/issues : “the moral behaviour of humans as they design, make, use and treat artificially intelligent systems.” “A concern with the behaviour of machines, in machine ethics” – for example, computational ethics. ” “The issue of a possible singularity due to superintelligent AI” – a fascinating glimpse into the future as computers might ‘take over’. Is this still science fiction ? https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence#Singularity
This seminar encompasses important topics for Knowledge Management and Information Management practitioners. Topics will include ‘bias’ in the machine, in machine learning, in the content cycle, in the taxonomy, in the text analytics, in the algorithms and, of course, in the real world. Critically, where do knowledge organisation systems fit in and how can practitioners play a role in creating ethical artificial intelligence ? Should companies begin to develop an AI ethics strategy that is publicly available ?
Our speaker is Ahren Lehnert – Senior Manager, Text Analytics Solutions of Synaptica.com
He is based in Oakland, California, USA. https://www.synaptica.com/
Ahren is a graduate of Eastern Michigan University in the Mid-West and a post-graduate of Stony Brook University in New York.
Ahren is a knowledge management professional passionate about knowledge capture, organisation, categorisation and discovery. His main areas of interest are text analytics, search and taxonomy and ontology construction, implementation and governance.
His fifteen years of experience spans many sectors including marketing, health care, Federal and State government agencies, commercial and e-commerce, geospatial, oil and gas, telecom and financial services.
Ahren is always seeking ways to improve the user experience through better functionality and the most ‘painless’ user experience possible based on the state of the industry, best practices and standards.
Time and Venue
Zoom on line meeting on Thursday July 22nd, 2021 at 2:30pm GMT
Slides will be available after the event.
Blog will be available after the event.
Study suggestions will be available after the event.