According to intelligent design theory (IDT), everyone is very capable of providing good advice, and people are always better than anything else at giving you information. This is because IDT shows no computational device or mechanism can actually create information, only people can do so.
And, any person can do so, not only special people. This is because people have free will and intelligence (i.e. are intelligent agents) and machines do not. Thus, it is mathematically provable that prejudice is always wrong.
Dembski's paper shows that any search performing better than random sampling requires the addition of information. This is information in the Shannon sense, -log2(p), where p is the probability of sampling the target region in a search space normalized according to random sampling.
This cannot be done algorithmically for an arbitrary search landscape. According to IDT, however, the defining quality of intelligent agents is their ability to produce information. This can be measured and thus falsified or confirmed. I.e. do agents we normally identify as intelligent, such as humans, actually produce information?
Per question 2:
If the above does not define terms enough for you, let me know. Dembski does a very good job in defining ID mathematically. The following is a collection of his work, much of it freely available online.
If you can show mechanisms/algorithms can produce information (which they mathematically are incapable of doing) or that intelligent agents (such as humans) do not produce information.
