The burgeoning field of Machine Learning demands a proactive approach to ethics, moving beyond reactive measures to embed responsible guidelines directly into the design and utilization of algorithms. Organizations are increasingly facing pressure to ensure their models are fair, transparent, and accountable, especially as these technologies become