Touretzky, Common Lisp: A Gentle Introduction to Symbolic Computation. Good intro that assumes little programming background.
Wilensky, Common LispCraft. Similar to the above.
Kessler, Lisp, Objects, and Symbolic Computation. Illustrates some of the power of Lisp, but uses pre-CLOS object system.
Tatar, A Programmer's Guide to Common Lisp. Designed for the C/Pascal/FORTRAN programmer.
Milner, Common Lisp: A Tutorial. Straightforward but doesn't illustrate all the power of Lisp.
Friedman & Felleisen, The Little Lisper. A whimsical introduction to the ideas of Lisp suitable for the completely non-computer literate. From MIT.
Winston & Horn, Lisp (3rd Ed). The best single introduction to Lisp for the person with AI and programming background.
Abelson & Sussman, Structure and Interpretation of Computer Programs. A general introduction to Computer Science (not AI) using Scheme (a Lisp dialect). This is the text used for Computer Science undergrads at MIT, and is widely considered one of the all-time best introductions to Computer Science. Referred to in the trade as "SICP".
Norvig, Paradigms of AI Programming: Case Studies in Common Lisp. Definitely the best text on advanced Common Lisp and AI applications in Lisp. Not introductory, however; most parts are quite advanced. I was one of the major reviewers for this text when it was being written. Generally referred to as "PAIP".
Graham, On Lisp: Advanced Techniques for Common Lisp. In depth discussions of two of the most complex parts of Lisp programming: closures and macros. More depth on macros than all the other texts combined. Not for the faint of heart.
Hasemer & Domingue, Common Lisp Programming for Artificial Intelligence. A generally well-written text with excellent examples. Marred, however, by a major mistake in the section on implementing rule-based systems in Lisp.
Charniak, et al, Artificial Intelligence Programming. Considered the AI Programming textbook of choice until Norvig was published.
Stark, Richard, Lisp, Lore, and Logic. An interesting and amusing book with applications in logic, functional programming, and the lambda calculus. Not a serious Lisp or AI programming text.
Gabriel, Performance and Evaluation of Lisp Systems. Benchmarking in Common Lisp. PAIP is more useful for practical optimization advice.
Miller & Benson, Lisp Style and Design. Programming style and efficiency considerations.
Steele, Common Lisp: The Language (2nd ed). The official specification of the language until the ANSI spec is released this spring. Terse and difficult to read, but the one complete and authoritative language definition. Not a tutorial. Generally referred to as "CLtL" or "CLtL/2". Note that the full document is available on-line via the WWW. See http://www.apl.jhu.edu/~hall/lisp.html.
Franz Inc., Common Lisp: The Reference. Arranged alphabetically by function name as opposed to CLtL/2, which is arranged by Lisp topic. One of the most commonly used references by Lisp programmers, but corresponds to CLtL/1, and thus does not include sections on CLOS, the advanced LOOP macro, or the condition (error handling) system. Known as "CLtR". We have an on-line version of this on aplcenmp, accessible from UNIX via the "clman" command, or from emacs (with my .emacs) via M-x clman or M-m.
Lisp and Symbolic Computation, Vol 1, No 3/4. This contains the CLOS specification in a stand-alone format.
Draft Proposed American National Standard. Known as the "dpANS", this is the draft version of the soon-to-be-official ANSI specification for Common Lisp.
See Lisp and Symbolic Computation, above. Also chapter 7 of the dpANS and chapter 28 of CLtL/2.
Keene, Object-oriented Programming in Common Lisp: A Programmer's Guide to CLOS. The best overall intro to CLOS.
Lawless & Miller, Understanding CLOS: The Common Lisp Object System.
Kiczales, Rivieres, & Bobrow, The Art of the Metaobject Protocol. Known as "AMOP", this is an advanced look at extending/customizing CLOS by some of the main designers of CLOS itself.
ACM Lisp Pointers. An easy to read magazine full of tips and tricks for the Lisp hacker.
Lisp and Symbolic Computation. A much more theoretical journal.
Proceedings of the ACM Conference on Lisp and Functional Programming.