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Equation 3 · Part 4 · Comparing the Main Approaches to AI Governance and Regulation

Symbol t_i

Ei≈f(coveragei, enforcementi, ti),ti≪tj for several pairs (i,j)E_i \approx f(\text{coverage}_i,\ \text{enforcement}_i,\ t_i), \qquad t_i \ll t_j \text{ for several pairs } (i, j)
tit_i

What this part means

time-in-force for approach i.

Its job in the formula

tit_i is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Where the article explains it

where tit_i is time-in-force for approach i .

The passage around this formula

…to isolate from what regulators were doing anyway. Effectiveness is only meaningful once the thing measured has run long enough, under comparable conditions, to produce an outcome — informally, Ei≈f(coveragei, enforcementi, ti),ti≪tj for several pairs (i,j)E_i \approx f(\text{coverage}_i,\ \text{enforcement}_i,\ t_i), \qquad t_i \ll t_j \text{ for several pairs } (i, j). where tit_i is time-in-force for approach i . When tit_i differs by an order of magnitude or more across the set compared, as it does here, no amount of careful measurement of coverage or enforcement intensity fixes the fact that the outcome variable has not had time to be generated for every entrant. This…

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A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.

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Sources cited in the surrounding passage

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