Machine Learning

This week in class, we touched more heavily on machine learning. Specific examples included self-driving cars and voice recognition. I have no experience with self-driving cars, but plenty of experience with voice recognition. We have more "Alexa" devices in this house than we have rooms, and I have never gotten along with it particularly well. It has yet to learn my voice, yet whilst watching Schitt's Creek, every time Eugene Leavy said, "Alexis," the stupid device would ask how it could help. 

While I dig into my determination to adopt AI into my life, I decided to let Chat GPT+ help me write my semi-annual career goals.  I simply asked it to "Write performance goals. Include improving the quality and quantity of MSL insights; increase global collaboration as an individual and for the team by opening up dialogue with the European thoracic MSL team; and increase exposure to the business operations of medical affairs." For each input, it generated an objective and key results.

The objectives generated were lofty and not fully applicable, though admirable. So I asked GPT to ask me ten questions about myself to help me personalize the results. The question readout I received in response blew my mind. They were more thoughtful and insightful and I would expect from my own mother. Even more astounding was that as I answered these questions, the AI seemed increasingly enthusiastic about my responses and goals.

At the end of the interaction, I walked away with goals that were lofty but thoughtful and completely relevant to my role. I tweaked the results and made them more attainable, but the process provided a launching pad for what I anticipate to be a successful mid-year review. Additionally, I walked away with surprise and admiration for the fact that not only did the machine learn from the input it received, but it generated its responses in a way that felt human-like with its emotion.