The 67 ethical dilemmas shared here represent a snapshot of the global deliberation involved in examining the impacts of artificial intelligence and advanced technologies across international and disciplinary contexts. They offer a glimpse into the learning process as well as the types of themes explored. In addition to examining nuanced impacts of technology, these practices help to expand narratives and perspectives and understanding about how artificial intelligence and advanced technologies impact the lives of people around the world.
Category Archives: Dilemma Templates
Risk of biased or false results relating to ESG performance as we increasingly use Artificial Intelligence, AI; and Natural Language Processing, NLP, to analyze and create currently missing data points of ESG strategies of publicly traded companies.
AI can help sustainable investors process mountains of data that hold essential information for ESG investing.
Should we regulate FinTech companies the same way we do with traditional banking and financial institutions knowing that this could potentially slow down and/or hamper their development?
Some countries require (or will be requiring in the close future) financial institutions to disclose to regulators on how the projects and investments they are working on/financing are impacting the environment.
Should Machine Learning Be Trusted to Allocate Funding to Scientific Research?
Nature Biotech has created a Dynamic Early-warning by Learning to Predict High Impact (DELPHI) system to predict which research will be the most ‘impactful’.