Examining your personal and spiritual beliefs is necessary throughout your career as a counselor. The purpose
of self-reflection is to help counselors gain an understanding of their thoughts, feelings, emotions, and actions
so that they do not impose their beliefs on clients. This assignment will help you gain insight into your beliefs
and to help to identify alliance or conflict with the ACA Code of Ethics. Learning how to work through any
conflict because of your beliefs is important not to harm your client or violate ethical standards. This
assignment allows you to examine and apply steps to address the conflict.
You will complete a self-reflective paper between your personal or spiritual beliefs and the counseling
professional values as depicted in the ACA Code of Ethics (available from
https://www.counseling.org/resources/aca-code-of-ethics.pdf). The paper should be 3–4 pages in length, APA
format, and include at least two references. The two required references are: Daniel (2020) and ACA Code of
Ethics (2014). Additional references are permitted, but not necessary.
This is a self-reflective paper and should be written in first person. However, please make sure that your style
remains professional. This is not texting, emailing, or FaceTime.
• Verify in one sentence that you read the Daniel (2020) text in its entirety.
• Choose two counseling professional values or codes from the ACA Code of Ethics that are in harmony with
your personal or spiritual beliefs. Do not choose obvious values, but values that maybe were not in harmony
until you progressed in this program or read Daniel’s text. Using the heading: Harmony Between Professional
Values and Spiritual Beliefs, write up to one page explaining the harmony between the professional values and
your spiritual beliefs.
• Using the heading: Integrating Professional Values and Spiritual Beliefs, write up to one page explaining how
these values and your spiritual beliefs came into harmony. What was this process for you? How were you
challenged to integrate the values and your beliefs? How did Daniel’s text challenge your thinking?
• Choose 2 counseling professional values or codes from the ACA Code of Ethics that still remain in conflict
with your personal or spiritual beliefs. Using the heading: Conflict Between Professional Values and Spiritual
Beliefs, write up to one page explaining the conflict that you still have to work through.
• Using the heading: Actions to Work Through the Conflicts, write up to one page reflecting on how you should
work through these conflicts and what this process should entail.
gure 2: Eigenfaces of the training set  2) Calculate the eigenfaces from the training set, keeping only the M images that correspond to the highest eigenvalues. These M images define the face space. As new faces are experienced, the eigenfaces can be updated or recalculated. 3) Calculate the corresponding distribution in M-dimensional weight space for each known individual, by projecting their face images onto the ‘face space’. After the initialization operations, there are carried out more operations in order to recognize new face images. 4) Calculate a set of weights based on the input image and the M eigenfaces by projecting the input image onto each of the eigenfaces. 5) Determine if the image is a face at all by checking to see if the image is sufficiently close to ‘face space’. 6) If it is a face, classify the weight pattern as either a known person or as unknown. 7) (Optional) Update the eigenfaces and/or weight patterns. 8) (Optional) If the same unknown face is seen several times, calculate its characteristic weight pattern and incorporate into the known faces. As mentioned earlier, there is a long list of methods that can be used for facial recognition. Four of them, i.e Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method, are the most favorite. Below here, you can find the error rates of those four methods, considered pictures with close crop or the whole face. Figure 3: Graph and table of the result of an experiment with the four most used facial recognition techniques  As you can see, the Eigenface Method has the most errors, and the Fisherface Method the least. You can also see that the error rate is higher with images of close crops faces, compared to a full face image. This shows that it is harder for a facial recognition algorithm to recognize someone if their face is not fully shown in the picture and the features are thus not recognized. It also reminds us of the fact that facial recognition techniques are not completely accurate. Hopefully they will become more accurate in the future, so e.g crime can be prevented faster and better. 3. Results of face recognition technologies in crime prevention There are many ways for law enforcement to help them with decreasing the amount of crime. Face recognition has a big role in human life. Witnesses can describe a person’s face. Also, the citizenry can help by sending in photos. But an Artificial Intelligence can also do face recognition. It can search through a database full of mug shots to find a match with the face from an image or sketch. The Artificial Intelligence will take much shorter time to find a match than a group of officers or even specialists. In the following part, there will be discussed how four different approaches are all playing a role in crime prevention.>GET ANSWER