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Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements.

Ronny BoganiAndreas TheodorouLuca ArnaboldiRobert H Wortham
Published in: AI and ethics (2022)
Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • deep learning
  • healthcare
  • electronic health record
  • decision making
  • current status
  • climate change
  • social media
  • long term care