AIAAIC's "Internal Impacts Taxonomy" describes the negative impacts experienced by the individual(s) or entity(ies) deploying an AI, algorithmic or automation system, or set of systems, caused by or associated with its use or misuse.
Applied to entries to the AIAAIC Repository, the taxonomy aims to present ethical concerns in a clear, succinct and “neutral” manner that is clear to and understandable by people from a wide variety of countries and cultures.
The impact of a system on the strategy and reputation of the organisation/individual deploying it, including:
CEO/senior leadership termination
Inability to recruit
Inability to raise capital
Customer backlash/boycott
Partner/supplier backlash
Political backlash
Loss of credibility/confidence/trust
Loss of license to operate.
The impact of a system on the operations of the organisation/individual deploying it, including:
System review/update
System suspension
System/product recall
System termination
Internal/external assessment
Internal/external audit
Internal/external investigation
Employee complaints/petitions
Employee walk-outs/strikes
Employee loss/churn
The impact of a system on the finances of the organisation/individual commissioning/deploying it, including:
Revenue loss
Margin loss
Market share loss
Share price loss
Liability loss
Fines
The impact of a system on the legal/regulatory/compliance activities of the organisation/individual commissioning/deploying it, including:
Legal complaint/filing
Litigation
Regulatory inquiry/investigation
Legislative inquiry
Legislative questions/complaints.