PDF Publication Title:
Text from PDF Page: 012
2 An Intelligence in Our Image to privacy, civil rights, and individual autonomy, warning about the “potential of encoding discrimination in automated decisions” (Execu- tive Office of the President, 2016, p. 45) and discussing the problem features and case studies in such areas as credit reporting, employ- ment opportunities, education, and criminal justice (see also Executive Office of the President, 2014). It is important to evaluate the extent and severity of that threat. Our goal here is to explain the risk associated with uncritical reli- ance on algorithms, especially when they implicitly or explicitly medi- ate access to services and opportunities (e.g., financial services, credit, housing, employment). Algorithmic decisions are not automatically equitable just by virtue of being the products of complex processes, and the procedural consistency of algorithms is not equivalent to objec- tivity. DeDeo (2015, p. 1) describes this issue succinctly: “[algorithms] may be mathematically optimal but ethically problematic.” While human decisionmaking is also rife with comparable biases that arti- ficial agents might exhibit, the question of accountability is murkier when artificial agents are involved. The rest of this report takes the following structure. Chapter Two defines and examines the concept of an algorithm. Then we turn our attention to complex algorithms behaving incorrectly or inequitably. Our primary focus will be on the impact of artificial agents in social and policy domains. Chapter Three steps away from particular exam- ples to dissect the issues underlying the problem of misbehaving algo- rithms. We will propose a selection of remedies to reclaim a measure of accountability for algorithmic decisionmaking processes. This includes recent work on fair, accountable, and transparent machine learning. In Chapter Four, we conclude with some observations and recommenda- tions on how to better understand and address the challenges of algo- rithmic bias.PDF Image | Intelligence in Our Image Risks of Bias and Errors in Artificial Intelligence
PDF Search Title:
Intelligence in Our Image Risks of Bias and Errors in Artificial IntelligenceOriginal File Name Searched:
RAND_RR1744.pdfDIY PDF Search: Google It | Yahoo | Bing
Cruise Ship Reviews | Luxury Resort | Jet | Yacht | and Travel Tech More Info
Cruising Review Topics and Articles More Info
Software based on Filemaker for the travel industry More Info
The Burgenstock Resort: Reviews on CruisingReview website... More Info
Resort Reviews: World Class resorts... More Info
The Riffelalp Resort: Reviews on CruisingReview website... More Info
| CONTACT TEL: 608-238-6001 Email: greg@cruisingreview.com | RSS | AMP |