Commentary 1:

The ideas and strategies discussed in The Ultimate AI Strategy Guide will influence my experience as a Software Developer at my previous workspace. This reading provides an in-depth look at artificial intelligence technologies such as natural language processing, computer vision, and machine learning algorithms that can be used in different industries. The company I worked for has created exciting AI projects based on this model.

For example, if the organization is involved in the creation of chatbots or virtual assistants, understanding the knowledge of the instructions will allow me to contribute to the creation of intelligent speech agents. Expertise in language processing and machine learning algorithms will allow me to build more intuitive and context-aware chatbots to enhance the user experience.

In addition, the reading emphasizes the importance of data processing and the use of big data. Integrating these principles could have impacted my practice by emphasizing the importance of analyzing data and using it to develop solutions. This would have inspired me to explore data science concepts and tools that enable me to extract useful insights from synthetic data and make informed decisions.

In my current job/internship, the ideas, concepts, and technologies presented at the end of the AI Strategy Guide have the potential to be very disruptive. This reading explains the evolution of AI and shows how an integrated AI system can increase efficiency, deliver better customer experience, and improve business results.

If my company decides to adopt modern technology, it may change our software development process. For example, the integration of machine learning algorithms into our software helps build predictive models to predict user behavior and adjust systems accordingly. This will lead to a personal and constructive experience for our customers, leading to satisfaction and retention.

In addition, the fair highlights the importance of automation and smart machines. If my organization accepts these terms now, we can continue to work and streamline the development process. This will free up valuable time for developers to focus on solving complex problems and creative work, ultimately increasing the productivity and innovation of the team.

When I'm about to start a new job or internship, the ideas, strategies, and tips at the end will have a huge impact on improving my AI Strategy Guide experience in the future. This reading examines artificial intelligence and its applications in various industries. If the organization I am attending is at the forefront of AI implementation, I can expect exposure to AI processes and ideas. This enables computer vision, natural language processing, or deep learning tasks. This will not only improve my skills but will also give me valuable experience in finding new ideas. The reading also emphasizes the importance of ethics in building skills. It highlights the need for responsible AI practices, including the reduction of bias and discrimination.

If I join a company that values fairness in AI, it will give me the opportunity to contribute to projects that promote fairness, transparency, and inclusion, and focus on my results as a software developer.

In short, the concepts and techniques outlined in Babar M Bhatti's "Ultimate Artificial Intelligence Strategy Guide" were able to describe my past, present and future experiences as a software developer. By integrating AI techniques into their development, companies can unlock new possibilities, increase productivity, and deliver superior user experiences. Keeping up with the latest AI technology and developments is crucial to my growth and success in this field.

Commentary 2:

The article titled "Behind the Paper That Led to a Google Researcher's Firing" raises crucial ethical concerns surrounding the use of artificial intelligence (AI) and the application of research in professional settings. The incident described in the article highlights the necessity for organizations to establish ethical frameworks and guidelines to ensure responsible and accountable use of AI technologies.

Throughout my professional experience as a project associate at Cognizant Technology Solutions and an application development analyst at Accenture, I have been involved in implementing and developing various technological solutions. While I have not directly encountered the specific ethical issues discussed in the article, the concepts and frameworks discussed hold significant relevance to my work environment and the broader tech industry.

The incident at Google underscores the potential for misusing AI algorithms and the responsibility that organizations bear in ensuring the ethical use of such technologies. It underscores the importance of robust ethical frameworks and guidelines to inform the research, development, and deployment of AI systems. In my previous roles, I have witnessed the impact of ethical considerations on product development and implementation.

In my role as a project associate working within the product engineering team for Cognizant Technology Solutions, one of my responsibilities was defining product strategies and roadmaps. It is essential to incorporate ethical considerations into these strategies to ensure that the products we develop align with ethical standards and societal values. By applying ethical frameworks, we can proactively address potential biases, discrimination, and privacy concerns throughout our product design and development processes.

Furthermore, the incident serves as a reminder of the significance of responsible data handling and privacy protection. In my work, I have dealt with sensitive user data, particularly within the healthcare sector/life sciences industry. Adhering to stringent data privacy regulations and implementing robust security measures is crucial for maintaining user trust and safeguarding sensitive information. By adopting privacy-by-design principles and employing data anonymization techniques, we can mitigate the risks associated with data misuse and unauthorized access.

The article also underscores the importance of diversity and inclusion in the development and deployment of AI technologies. It is crucial to have diverse teams comprising individuals with varying perspectives and experiences to identify and address potential biases and ethical concerns. By fostering an inclusive work environment, organizations can ensure that AI systems are developed with fairness and inclusivity in mind, thereby avoiding discriminatory outcomes.

Looking ahead to future job or internship opportunities, the concepts and frameworks discussed in the article will continue to have a profound impact. As I transition into my Master's program in Information Systems Management, understanding and applying ethical considerations in AI and technology will play a vital role in shaping my decision-making and problem-solving approach. By actively incorporating ethical frameworks into my work, I can contribute to the responsible development and deployment of AI solutions within organizations.

In conclusion, the article sheds light on critical ethical considerations that arise within the realm of AI research and its application. It underscores the need for organizations to establish ethical frameworks and guidelines to ensure the responsible and accountable use of AI technologies. By incorporating these concepts and frameworks into our work environments, we can contribute to the development of AI systems that align with ethical standards, protect user privacy, and promote fairness and inclusivity. As technology professionals, it is our responsibility to be mindful of the ethical implications of our work and actively strive for the responsible and ethical use of AI.

Answer the following Questions:

1) With respect to commentary 2, did the commentary focus on the application of the concepts/frameworks discussed in the readings to current or prior work environment(s) and did they address things from their professional (past, present, future) perspective? Or did they lean in too much to their personal perspectives or opinions on the matter?

2) From commentary 1 perspective, tell if commentary 2 relates to commentary 1. Where do they have a common ground? Where do they disagree?

3) From commentary 1 perspective, tell if commentary 2 changed your perspective in any way. If so, how? If not, why?