An optimizable scalar objective value cannot be objective and should not be the sole objective
Kloumann, Isabel, Tygert, Mark
–arXiv.org Artificial Intelligence
The morality of algorithms and their potential for bias and discrimination are important concerns. A popular approach to machine learning and artificial intelligence is via the numerical optimization of objective functions, and adapting such an approach to handle ethics could seem natural: with a hammer in hand, everything looks like a nail. The hammer of much artificial intelligence is the optimization of objective values, so some might like to treat morality solely through such objective functions. However, relying solely on the optimization of scalar objective values is fraught with unavoidable flaws when dealing with real people.
arXiv.org Artificial Intelligence
Jun-3-2020
- Country:
- North America > United States
- New York > New York County
- New York City (0.05)
- New Jersey
- Mercer County > Princeton (0.04)
- Hudson County > Hoboken (0.04)
- Massachusetts
- Middlesex County > Cambridge (0.04)
- Worcester County > Worcester (0.04)
- Illinois > Cook County
- Chicago (0.04)
- California > Los Angeles County
- Beverly Hills (0.04)
- New York > New York County
- Europe
- United Kingdom > England
- Oxfordshire > Oxford (0.14)
- Cambridgeshire > Cambridge (0.14)
- Netherlands
- South Holland > Dordrecht (0.04)
- North Holland > Amsterdam (0.04)
- United Kingdom > England
- North America > United States
- Genre:
- Research Report (0.64)
- Industry:
- Health & Medicine > Therapeutic Area (1.00)
- Government (1.00)
- Law (0.93)
- Technology: