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Generative AI

Impact on Business and Society

Merve Hickok

Generative artificial intelligence (AI) systems can have a range of impacts on both business and society. In “Generative AI: Impact on Business and Society,” you’ll consider the social and technological aspects of these systems to evaluate how they may impact the way we adopt, trust, or work with these tools. This course builds on your knowledge of the benefits, challenges, and potential risks of AI as we begin integrating these tools into our organizations or communities. It includes considerations relevant to business operations, impact on consumers, as well as wider implications for citizens, public safety, and the environment. By the end of this course, you’ll be able to evaluate the global and local implications specific to generative AI systems for informed decision-making in your role.

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What's inside

Syllabus

Introduction to the Course

Informed Choices: Mitigating Generative AI Risks in Business

Generative AI's Societal Impact: A Critical Overview

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Offers an overview of the societal impact of generative AI

Examines the business implications of generative AI

Provides strategies for mitigating risks associated with generative AI

Taught by Merve Hickok, an expert in generative AI

Requires no prior knowledge of generative AI

Covers the ethical implications of generative AI

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Reviews summary

Strategic overview of generative ai's impact

According to learners, this course offers an excellent, timely resource for understanding Generative AI's profound implications. Students highlight its ability to expertly balance business strategy with crucial societal considerations, making complex topics accessible and engaging. It's particularly well-suited for professionals and leaders seeking a conceptual foundation rather than technical depth. While largely positive, some recommend including more diverse real-world case studies for actionable insights, but agree it provides crucial knowledge for navigating the evolving tech landscape and strategic decision-making.

Geared towards strategic understanding rather than technical depth.

"It's more conceptual than technical, which suited my needs as a non-developer."

"I would recommend it for anyone needing a conceptual foundation, but not for those seeking technical details."

"I found the course equipped me with the right questions to ask and areas to consider, rather than deep dives into technical aspects."

Tailored for managers, leaders, and decision-makers.

"Highly recommend for any professional seeking to navigate the future of AI."

"Absolutely essential for anyone in a leadership role."

"A must-take for any leader or policy maker. The discussions are highly practical for strategic decision-making."

Effectively covers both enterprise and broad societal impacts.

"It expertly balances business strategy with societal considerations."

"The focus on both business and societal aspects is a strength."

"It illuminates the dual nature of Generative AI – its immense potential and its significant challenges."

Provides current and essential insights into Generative AI.

"This course is an excellent, timely resource for understanding Generative AI's implications."

"Absolutely essential for anyone in a leadership role. The course clarifies the profound changes GenAI will bring..."

"Outstanding. This is crucial knowledge in today's rapidly evolving tech landscape."

Could benefit from additional real-world examples and strategies.

"Some parts felt a bit high-level, and I wished for more diverse case studies..."

"It felt a bit too theoretical at times for my practical needs. I was hoping for more specific use cases."

"My only minor critique is that some discussions could be expanded with more real-world examples."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI: Impact on Business and Society with these activities:

Review foundational AI concepts

Show steps

Refresh your understanding of AI models, algorithms, and techniques before starting the course to enhance your comprehension of generative AI.

Browse courses on Deep Learning

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Create a digital notebook for course content

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Organize and consolidate your course notes, assignments, and resources in a digital notebook for efficient review and future reference.

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Choose a digital note-taking app
Create a dedicated notebook for the course
Import or transcribe your notes and materials

Experiment with generative AI tools

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Explore various generative AI tools to solidify your understanding of their capabilities and limitations, and to gain hands-on experience with text generation, image synthesis, and other applications.

Browse courses on Generative AI Tools

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Sign up for different generative AI platforms
Experiment with different prompts and inputs
Analyze the outputs and identify patterns
Compare and contrast the tools based on their strengths and weaknesses

Two other activities

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Show all five activities

Develop a case study on a generative AI application

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Apply your knowledge of generative AI systems to a specific real-world scenario, solidifying your understanding of their potential impacts and considerations.

Browse courses on Generative AI Applications

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Choose a specific industry or application area
Research and identify a relevant case study
Analyze the impact of generative AI on the case study
Develop recommendations for leveraging generative AI
Present your findings in a written or presentation format

Build a generative AI model

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Challenge yourself to design and implement a generative AI model from scratch, giving you hands-on experience with the underlying algorithms and techniques.

Browse courses on Generative AI Models

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Choose a specific generative AI task
Gather and preprocess your dataset
Select and configure an appropriate model
Train and evaluate your model
Deploy your model and evaluate its performance

Career center

Learners who complete Generative AI: Impact on Business and Society will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI: Impact on Business and Society.

Artificial Intelligence

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The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.

Artificial Intelligence: A Modern Approach

Hardcover

$$$$

Hands-On Machine Learning with Scikit-Learn, Keras,...

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The premier applied machine learning masterwork, taking practitioners through intuitive concept breakdowns, production-grade Scikit-Learn workflows, and deep neural architecture implementations.

Generative AI

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Strategic overview of generative ai's impact

Activities

Career center

Reading list

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