summary response essay ppt

Introduction

Goals and Goal Setting

Goals Common to All RST Writers

Other Goals to Consider

Defining My Own Goals

Advice about Assignments

Getting Started: Listing Topics to Write about in the Tutorial

Narrative One: Personal Piece on a Significant Experience

Narrative Two: Academic Piece on a Significant Experience

Summary/Response One

Summary/Response Two

Tutorial Evaluation Postscript

On Using the Resources for Writers

Generating and Developing Ideas

Finding/Expressing Main Ideas

Showing v. Telling Sentences

Focusing Topic Sentences

Thesis Statements

Reading Strategies

Assessing Your Reading Strategies

Summarizing

Writing Effective Summary and Response Essays

Discourse Analysis Worksheet

Trade Magazines

Selecting Readings

A summary is a concise paraphrase of all the main ideas in an essay. It cites the author and the title (usually in the first sentence); it contains the essay's thesis and supporting ideas; it may use direct quotation of forceful or concise statements of the author's ideas; it will NOT usually cite the author's examples or supporting details unless they are central to the main idea. Most summaries present the major points in the order that the author made them and continually refer back to the article being summarized (i.e. "Damon argues that ..." or "Goodman also points out that ... "). The summary should take up no more than one-third the length of the work being summarized.

The Response:

A response is a critique or evaluation of the author's essay. Unlike the summary, it is composed of YOUR opinions in relation to the article being summarized. It examines ideas that you agree or disagree with and identifies the essay's strengths and weaknesses in reasoning and logic, in quality of supporting examples, and in organization and style. A good response is persuasive; therefore, it should cite facts, examples, and personal experience that either refutes or supports the article you're responding to, depending on your stance.

Two Typical Organizational Formats for Summary/Response Essays:

1. Present the summary in a block of paragraphs, followed by the response in a block:

Intro/thesis Summary (two to three paragraphs) Agreement (or disagreement) Disagreement (or agreement) Conclusion

Note: Some essays will incorporate both agreement and disagreement in a response, but this is not mandatory.

2. Introduce the essay with a short paragraph that includes your thesis. Then, each body paragraph summarizes one point and responds to it, and a conclusion wraps the essay up.

Intro/thesis Summary point one; agree/disagree Summary point two; agree/disagree Summary point three; agree/disagree Conclusion

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Summary-Response Essay

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21 Strategy: Writing a Summary Response

A summary response summarizes the main ideas of an author’s work and also responds to the author’s essay by critiquing or evaluating the ideas presented. Note that there is an appropriate time for opinion, evaluation, and summary; take a closer look at some of the best practices in structuring your summary response.

Topic Paragraph:

• Somewhere near the beginning of your essay include the full name of the text and author that is being discussed. Situate the issue with any relevant context or background information that might be necessary.
• Include necessary background or contextual information about the author . Consider profession, culture, education, and so forth. Additionally, describe the author’s perspective on the issues at hand and consider the “why.”
• Craft your thesis statement. In it, sum up what the author claims and include your opinion regarding the argument or perspective.

Subsequent Paragraphs: The Summary

• Lay out the author’s perspective(s). Present the facts of the author’s argument. *Note–Within the summary paragraph, this is not the time to include your own opinions.
• Discuss the context of the issue and explain the author’s overall perspective.
• Present the major points in the order that the author made them.
• Be sure to include the author’s concluding point(s) and any actions or recommendations that are relevant to the text.

Subsequent Paragraphs: The Response

Following the summary, you have the opportunity to respond, evaluate, and critique.

• Briefly recap the author’s main points and perspectives. Then, include your own perspective on the issues at hand and explain why that is.
• Include specific supporting examples and textual references to support your perspectives.

Loyola University Chicago Writing Center. (2017). How To Write A Summary Response Essay. Retrieved June 24, 2019, from https://www.luc.edu/media/lucedu/writing/lucwcowls/How to Write a Summary Response Essay.pdf

The Writing Studio at Colorado State University. (2019). Writing Effective Summary and Response Essays. Retrieved June 24, 2019 from https://writing.colostate.edu/guides/teaching/rst/pop5i.cfm

Built In Practice: Summary and Response

Read and Annotate an essay from 88 Open Essays .

Summarize and Respond to the essay.

Critical Literacy III Copyright © by Lori-Beth Larsen is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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SummaryResponse Essay - PowerPoint PPT Presentation

SummaryResponse Essay

Not about finding fault with author. rather engaging author in a discussion by asking ... enclose in quotation marks. cite page number () at end of quotation ... – powerpoint ppt presentation.

• Responding to Reading
• Not about finding fault with author
• Rather engaging author in a discussion by asking questions as you read an article or essay
• Requiring author to meet certain demands that employ good writing techniques
• Logical thoughts and arguments
• Reliable, credible information
• Thoughtful and thought provoking
• Honest writing
• Often objective, non biased or well supported argument
• Readers want to know about the author, his background, experience, expertise
• Occasion, purpose, audience of writing situation
• Cultural context
• Writers claim or argument
• Logical use of evidence, adequate evidence
• Style, voice, tone, word choice
• Good note taking
• Keep a Readers log--see pg. 160
• Summary List main ideas, key features, examples, and evidence the author may provide
• Log your reaction to each main point, record your comments, and questions
• Audience, reader
• Occasion, genre, context
• Thesis and main or supporting ideas
• Organization and evidence
• Language and style
• To understand an authors main idea and purpose for work
• To recognize the main points that support that main idea
• To be able to summarize(paraphrase) authors main ideas
• To be able to respond or react to what the author has to say (to support or defend your point of view)
• Cite the author and the title of the text
• Indicate the main ideas of the text
• Paraphrase main ideas quote sparingly, use key words, phrases, and sentences
• Include author tags
• Avoid summarizing specific examples or data
• Be objective
• Your opinion of the authors ideas
• Do you agree or disagree
• How well is the essay or article written?
• Requires your reaction to the text and your interpretation of the text
• 3 types of responses depends on purpose and audience
• Use this approach if you do no have an opinion on the topic
• Do an analysis of the structure of the writing, the clarity of the main idea, use of logic and reasoning, strength of argument, use of supporting evidence
• Overall effectiveness of the piece
• Good writing
• A response of this nature will react to the ideas or the argument
• Simply do you agree with the author
• Why or why not
• Provide evidence to support your reaction
• Writer will explain or examine the text by looking at the underlying assumptions or implications of the authors ideas.
• You may add your own experience, attitude, and observations as they relate to text
• Your response requires that you provide evidence to support your opinion, whether you agree or disagree with the author
• Consider what sort of evidence will best support your statements
• Use personal experience as examples to demonstrate why you interpret the text the way you do, why you react the way you do, why you agree or disagree
• I strongly disagree with Tannens first point based on my own high school experience, especially in my History class.
• Cite specific phrases or sentences from the text to support your
• explanation of the text
• analysis of the effectiveness of the text
• To support why you agree or disagree
• Acceptable to bring in ideas and information from other texts
• Your prior knowledge
• No research required for this assignment
• Cite sources if you do use borrow material from other sources
• Brief introduction that will state these items
• Title of the article or essayName of author Place of publication
• Any key information you might know about author to help establish authors credibility
• State authors main idea
• Thesis a well thought out statement stating your main point about the article or essay.
• In her essay The Way Men and Women Use Language author Deborah Tannen argues that teachers should be aware of the vast differences in how men an women communicate in order to be more successful in the classroom. Based on my experience in the classroom as, I have to disagree with Tannen.
• (Students will list)
• Points you agree with(Students will list)
• Points you disagree with
• End essay with a summary of your response
• You can add a new perspective about the article, author, or topic
• I. Introduction with thesis
• II. Summary of main point
• III. Points You agree with
• IV. Points you disagree with
• Summarize point 1 agree or disagree
• Summarize point 2 agree or disagree
• Summarized point 3 agree or disagree
• Note you do not need to agree or disagree with all points
• Summarize or paraphrase brief explanation, omit authors supporting evidence or examples unless one is vital in understanding authors point
• Make sure to give reasons why you disagree
• Give examples, personal experience, facts, any previous experience or knowledge you can draw upon to support your opinion
• Based on my experience with boys in class in high school. . . .
• Try to avoid over using I agree and I disagree
• Know what type of documentation system your teacher requires
• Add a correct bibliographical citation (MLA in this class)
• If you take direct quotations form the article, put the page number in () at the end of the quotation with a . at the close of the ().
• Document any borrowed material--any material not your original
• Words, images, language, visuals, ideas, concepts
• YES ideas can be plagiarized
• Students sharing ideas--one comes up with an idea and others say yeah, I like that idea too.
• Summary should
• Present the authors main idea accurately and objectively
• Use description, paraphrase, and direct quotation
• Describe the main features of the essay
• Author and title
• Place of publication
• Key text features
• Authors thesis or main point
• Recreates or restates authors passage using your words
• Retains the original meaning without plagiarizing
• Same length as original text
• Read text until you write the passage in your own language
• Be sure to add an author tag and cite page in () at end of borrowed material
• Presents authors words exactly as stated in the text.
• Introduce with an author tag
• Enclose in quotation marks
• Cite page number () at end of quotation

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Essay Papers Writing Online

A comprehensive guide to writing a response essay that will help you ace your academic assignments.

Writing a response essay can be a challenging task, as it requires you to analyze a piece of literature, a movie, an article, or any other work and provide your personal reaction to it. This type of essay allows you to express your thoughts and feelings about the content you’re responding to, and it can help you develop critical thinking and analytical skills.

In order to craft a compelling response essay, you need to carefully read and understand the work you’re responding to, identify key themes and arguments, and formulate a clear and coherent response. This guide will provide you with tips and strategies to help you write an effective response essay that engages your readers and communicates your ideas effectively.

Key Elements of a Response Essay

A response essay typically includes the following key elements:

• Introduction: Begin with a brief summary of the text you are responding to and your main thesis statement.
• Summary: Provide a concise summary of the text, focusing on the key points and arguments.
• Analysis: Analyze and evaluate the text, discussing its strengths, weaknesses, and the effectiveness of its arguments.
• Evidence: Support your analysis with evidence from the text, including quotes and examples.
• Personal Reaction: Share your personal reaction to the text, including your thoughts, feelings, and opinions.
• Conclusion: Sum up your response and reiterate your thesis statement, emphasizing the significance of your analysis.

By incorporating these key elements into your response essay, you can effectively engage with the text and provide a thoughtful and well-supported response.

Understanding the Assignment

Before you start writing your response essay, it is crucial to thoroughly understand the assignment requirements. Read the prompt carefully and identify the main objectives of the assignment. Make sure you understand what the instructor expects from your response, whether it is a critical analysis of a text, a personal reflection, or a synthesis of different sources.

Pay attention to key elements such as:

• The topic or subject matter
• The purpose of the response
• The audience you are addressing
• The specific guidelines or formatting requirements

Clarifying any doubts about the assignment will help you focus your response and ensure that you meet all the necessary criteria for a successful essay.

Analyzing the Prompt

Before you start writing your response essay, it is crucial to thoroughly analyze the prompt provided. Understanding the prompt is essential for crafting a coherent and well-structured response that addresses the key points effectively. Here are some key steps to consider when analyzing the prompt:

• Carefully read the prompt multiple times to fully grasp the main question or topic that needs to be addressed.
• Identify the key words and phrases in the prompt that will guide your response and help you stay focused on the main theme.
• Consider any specific instructions or requirements outlined in the prompt, such as the length of the essay, the format to be used, or the sources to be referenced.
• Break down the prompt into smaller parts or components to ensure that you cover all aspects of the question in your response.
• Clarify any terms or concepts in the prompt that are unclear to you, and make sure you have a solid understanding of what is being asked of you.

By analyzing the prompt carefully and methodically, you can ensure that your response essay is well-structured, focused, and directly addresses the main question or topic at hand.

Developing a Thesis Statement

One of the most critical aspects of writing a response essay is developing a clear and strong thesis statement. A thesis statement is a concise summary of the main point or claim of your essay. It sets the tone for your entire response and helps guide your reader through your arguments.

When developing your thesis statement, consider the following tips:

Remember, your thesis statement should be specific, focused, and debatable. It should also be located at the end of your introduction paragraph to ensure it captures the reader’s attention and sets the stage for the rest of your essay.

Structuring Your Response

When structuring your response essay, it’s essential to follow a clear and logical format. Start with an introduction that provides background information on the topic and presents your thesis statement. Then, organize your body paragraphs around key points or arguments that support your thesis. Make sure each paragraph focuses on a single idea and provides evidence to back it up.

After presenting your arguments, include a conclusion that summarizes your main points and reinforces your thesis. Remember to use transitions between paragraphs to ensure a smooth flow of ideas. Additionally, consider the overall coherence and cohesion of your response to make it engaging and easy to follow for the reader.

Main Body Paragraphs

When writing the main body paragraphs of your response essay, it’s essential to present your arguments clearly and logically. Each paragraph should focus on a separate point or idea related to the topic. Start each paragraph with a topic sentence that introduces the main idea, and then provide supporting evidence or examples to reinforce your argument.

• Make sure to organize your paragraphs in a coherent and sequential manner, so that your essay flows smoothly and is easy for the reader to follow.
• Use transition words and phrases, such as “furthermore,” “in addition,” or “on the other hand,” to connect your ideas and create a cohesive structure.
• Cite sources and provide proper references to strengthen your arguments and demonstrate the credibility of your analysis.

Remember to analyze and evaluate the information you present in each paragraph, rather than simply summarizing it. Engage critically with the texts, articles, or sources you are referencing, and develop your own perspective or interpretation based on the evidence provided.

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Summary/Response Essay

Jul 26, 2014

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Summary/Response Essay. Purpose: specific and obvious Audience: specific and obvious Focus: based on one article Development: in the Response Coherence: smooth flow, transitions, organization. Summary. Cites the Author and title of article Is objective and concise

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Summary/Response Essay Purpose: specific and obvious Audience: specific and obvious Focus: based on one article Development: in the Response Coherence: smooth flow, transitions, organization

Summary • Cites the Author and title of article • Is objective and concise Contains no opinions of the Responder (student essayist) • Contains the Author’s Thesis • Hits all the important ideas of Author’s original article • These subpoints arranged in same order as original article • These subpoints given with same degree of emphasis as Author did • Clearly states Author’s opinion and attitude about the subject in article • Uses some direct quotation from Author • Quotations are striking • Does NOT contain specific examples • Contains “name tags” for quotations and references to Author’s ideas

Response • Is subjective (contains Responder’s opinions and attitude) • Response targeted on Author’s article, not just the subject ! ! ! • Contains much careful Critical Thinking on the part of the Responder • new ideas, not just repetition of author’s points • Response does not contradict itself at any point • contains many specific examples, words, and phrases from Author’s original article • points out errors and/or strengths in Author’s logic and reasoning • contains relevant personal experience of the Responder • specific Examples as they relate to article

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What is generative AI?

In the months and years since ChatGPT burst on the scene in November 2022, generative AI (gen AI) has come a long way. Every month sees the launch of new tools, rules, or iterative technological advancements. While many have reacted to ChatGPT (and AI and machine learning more broadly) with fear, machine learning clearly has the potential for good. In the years since its wide deployment, machine learning has demonstrated impact in a number of industries, accomplishing things like medical imaging analysis  and high-resolution weather forecasts. A 2022 McKinsey survey shows that AI adoption has more than doubled  over the past five years, and investment in AI is increasing apace. It’s clear that generative AI tools like ChatGPT (the GPT stands for generative pretrained transformer) and image generator DALL-E (its name a mashup of the surrealist artist Salvador Dalí and the lovable Pixar robot WALL-E) have the potential to change how a range of jobs are performed. The full scope of that impact, though, is still unknown—as are the risks.

Get to know and directly engage with McKinsey's senior experts on generative AI

Aamer Baig is a senior partner in McKinsey’s Chicago office;  Lareina Yee  is a senior partner in the Bay Area office; and senior partners  Alex Singla  and Alexander Sukharevsky , global leaders of QuantumBlack, AI by McKinsey, are based in the Chicago and London offices, respectively.

Still, organizations of all stripes have raced to incorporate gen AI tools into their business models, looking to capture a piece of a sizable prize. McKinsey research indicates that gen AI applications stand to add up to $4.4 trillion  to the global economy—annually. Indeed, it seems possible that within the next three years, anything in the technology, media, and telecommunications space not connected to AI will be considered obsolete or ineffective .

But before all that value can be raked in, we need to get a few things straight: What is gen AI, how was it developed, and what does it mean for people and organizations? Read on to get the download.

To stay up to date on this critical topic, sign up for email alerts on “artificial intelligence” here .

Learn more about QuantumBlack , AI by McKinsey.

What every CEO should know about generative AI

What’s the difference between machine learning and artificial intelligence, about quantumblack, ai by mckinsey.

QuantumBlack, McKinsey’s AI arm, helps companies transform using the power of technology, technical expertise, and industry experts. With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), we are working to solve the world’s most important AI challenges. QuantumBlack Labs is our center of technology development and client innovation, which has been driving cutting-edge advancements and developments in AI through locations across the globe.

Artificial intelligence is pretty much just what it sounds like—the practice of getting machines to mimic human intelligence to perform tasks. You’ve probably interacted with AI even if you don’t realize it—voice assistants like Siri and Alexa are founded on AI technology, as are customer service chatbots that pop up to help you navigate websites.

Machine learning is a type of artificial intelligence. Through machine learning, practitioners develop artificial intelligence through models that can “learn” from data patterns without human direction. The unmanageably huge volume and complexity of data (unmanageable by humans, anyway) that is now being generated has increased machine learning’s potential , as well as the need for it.

What are the main types of machine learning models?

Machine learning is founded on a number of building blocks, starting with classical statistical techniques  developed between the 18th and 20th centuries for small data sets. In the 1930s and 1940s, the pioneers of computing—including theoretical mathematician Alan Turing—began working on the basic techniques for machine learning. But these techniques were limited to laboratories until the late 1970s, when scientists first developed computers powerful enough to mount them.

Until recently, machine learning was largely limited to predictive models, used to observe and classify patterns in content. For example, a classic machine learning problem is to start with an image or several images of, say, adorable cats. The program would then identify patterns among the images, and then scrutinize random images for ones that would match the adorable cat pattern. Generative AI was a breakthrough. Rather than simply perceive and classify a photo of a cat, machine learning is now able to create an image or text description of a cat on demand.

Introducing McKinsey Explainers : Direct answers to complex questions

How do text-based machine learning models work how are they trained.

ChatGPT may be getting all the headlines now, but it’s not the first text-based machine learning model to make a splash. OpenAI’s GPT-3 and Google’s BERT both launched in recent years to some fanfare. But before ChatGPT, which by most accounts works pretty well most of the time (though it’s still being evaluated), AI chatbots didn’t always get the best reviews. GPT-3 is “by turns super impressive and super disappointing,” said New York Times tech reporter Cade Metz in a video where he and food writer Priya Krishna asked GPT-3 to write recipes for a (rather disastrous) Thanksgiving dinner .

The first machine learning models to work with text were trained by humans to classify various inputs according to labels set by researchers. One example would be a model trained to label social media  posts as either positive or negative. This type of training is known as supervised learning because a human is in charge of “teaching” the model what to do.

The next generation of text-based machine learning models rely on what’s known as self-supervised learning. This type of training involves feeding a model a massive amount of text so it becomes able to generate predictions. For example, some models can predict, based on a few words, how a sentence will end. With the right amount of sample text—say, a broad swath of the internet—these text models become quite accurate. We’re seeing just how accurate with the success of tools like ChatGPT.

What does it take to build a generative AI model?

Building a generative AI model has for the most part been a major undertaking, to the extent that only a few well-resourced tech heavyweights have made an attempt . OpenAI, the company behind ChatGPT, former GPT models, and DALL-E, has billions in funding from bold-face-name donors. DeepMind is a subsidiary of Alphabet, the parent company of Google, and even Meta has dipped a toe into the generative AI model pool with its Make-A-Video product. These companies employ some of the world’s best computer scientists and engineers.

But it’s not just talent. When you’re asking a model to train using nearly the entire internet, it’s going to cost you. OpenAI hasn’t released exact costs, but estimates indicate that GPT-3 was trained on around 45 terabytes of text data—that’s about one million feet of bookshelf space, or a quarter of the entire Library of Congress—at an estimated cost of several million dollars. These aren’t resources your garden-variety start-up can access.

What kinds of output can a generative AI model produce?

As you may have noticed above, outputs from generative AI models can be indistinguishable from human-generated content, or they can seem a little uncanny. The results depend on the quality of the model—as we’ve seen, ChatGPT’s outputs so far appear superior to those of its predecessors—and the match between the model and the use case, or input.

ChatGPT can produce what one commentator called a “ solid A- ” essay comparing theories of nationalism from Benedict Anderson and Ernest Gellner—in ten seconds. It also produced an already famous passage describing how to remove a peanut butter sandwich from a VCR in the style of the King James Bible. Image-generating AI models like DALL-E 2 can create strange, beautiful images on demand, like a Raphael painting of a Madonna and child, eating pizza . Other generative AI models can produce code, video, audio, or business simulations .

But the outputs aren’t always accurate—or appropriate. When Priya Krishna asked DALL-E 2 to come up with an image for Thanksgiving dinner, it produced a scene where the turkey was garnished with whole limes, set next to a bowl of what appeared to be guacamole. For its part, ChatGPT seems to have trouble counting, or solving basic algebra problems—or, indeed, overcoming the sexist and racist bias that lurks in the undercurrents of the internet and society more broadly.

Generative AI outputs are carefully calibrated combinations of the data used to train the algorithms. Because the amount of data used to train these algorithms is so incredibly massive—as noted, GPT-3 was trained on 45 terabytes of text data—the models can appear to be “creative” when producing outputs. What’s more, the models usually have random elements, which means they can produce a variety of outputs from one input request—making them seem even more lifelike.

What kinds of problems can a generative AI model solve?

The opportunity for businesses is clear. Generative AI tools can produce a wide variety of credible writing in seconds, then respond to criticism to make the writing more fit for purpose. This has implications for a wide variety of industries, from IT and software organizations that can benefit from the instantaneous, largely correct code generated by AI models to organizations in need of marketing copy. In short, any organization that needs to produce clear written materials potentially stands to benefit. Organizations can also use generative AI to create more technical materials, such as higher-resolution versions of medical images. And with the time and resources saved here, organizations can pursue new business opportunities and the chance to create more value.

We’ve seen that developing a generative AI model is so resource intensive that it is out of the question for all but the biggest and best-resourced companies. Companies looking to put generative AI to work have the option to either use generative AI out of the box or fine-tune them to perform a specific task. If you need to prepare slides according to a specific style, for example, you could ask the model to “learn” how headlines are normally written based on the data in the slides, then feed it slide data and ask it to write appropriate headlines.

What are the limitations of AI models? How can these potentially be overcome?

Because they are so new, we have yet to see the long tail effect of generative AI models. This means there are some inherent risks  involved in using them—some known and some unknown.

The outputs generative AI models produce may often sound extremely convincing. This is by design. But sometimes the information they generate is just plain wrong. Worse, sometimes it’s biased (because it’s built on the gender, racial, and myriad other biases of the internet and society more generally) and can be manipulated to enable unethical or criminal activity. For example, ChatGPT won’t give you instructions on how to hotwire a car, but if you say you need to hotwire a car to save a baby, the algorithm is happy to comply. Organizations that rely on generative AI models should reckon with reputational and legal risks involved in unintentionally publishing biased, offensive, or copyrighted content.

These risks can be mitigated, however, in a few ways. For one, it’s crucial to carefully select the initial data used to train these models to avoid including toxic or biased content. Next, rather than employing an off-the-shelf generative AI model, organizations could consider using smaller, specialized models. Organizations with more resources could also customize a general model based on their own data to fit their needs and minimize biases. Organizations should also keep a human in the loop (that is, to make sure a real human checks the output of a generative AI model before it is published or used) and avoid using generative AI models for critical decisions, such as those involving significant resources or human welfare.

It can’t be emphasized enough that this is a new field. The landscape of risks and opportunities  is likely to change rapidly in coming weeks, months, and years. New use cases are being tested monthly, and new models are likely to be developed in the coming years. As generative AI becomes increasingly, and seamlessly, incorporated into business, society, and our personal lives, we can also expect a new regulatory climate  to take shape. As organizations begin experimenting—and creating value—with these tools, leaders will do well to keep a finger on the pulse of regulation and risk.

Articles referenced include:

• " Implementing generative AI with speed and safety ,” March 13, 2024, Oliver Bevan, Michael Chui , Ida Kristensen , Brittany Presten, and Lareina Yee
• “ Beyond the hype: Capturing the potential of AI and gen AI in tech, media, and telecom ,” February 22, 2024, Venkat Atluri , Peter Dahlström , Brendan Gaffey , Víctor García de la Torre, Noshir Kaka , Tomás Lajous , Alex Singla , Alex Sukharevsky , Andrea Travasoni , and Benjamim Vieira
• “ As gen AI advances, regulators—and risk functions—rush to keep pace ,” December 21, 2023, Andreas Kremer, Angela Luget, Daniel Mikkelsen , Henning Soller , Malin Strandell-Jansson, and Sheila Zingg
• “ The economic potential of generative AI: The next productivity frontier ,” June 14, 2023, Michael Chui , Eric Hazan , Roger Roberts , Alex Singla , Kate Smaje , Alex Sukharevsky , Lareina Yee , and Rodney Zemmel
• “ What every CEO should know about generative AI ,” May 12, 2023, Michael Chui , Roger Roberts , Tanya Rodchenko, Alex Singla , Alex Sukharevsky , Lareina Yee , and Delphine Zurkiya
• “ Exploring opportunities in the generative AI value chain ,” April 26, 2023, Tobias Härlin, Gardar Björnsson Rova , Alex Singla , Oleg Sokolov, and Alex Sukharevsky
• “ The state of AI in 2022—and a half decade in review ,” December 6, 2022,  Michael Chui ,  Bryce Hall ,  Helen Mayhew , Alex Singla , and Alex Sukharevsky
• “ McKinsey Technology Trends Outlook 2023 ,” July 20, 2023,  Michael Chui , Mena Issler,  Roger Roberts , and  Lareina Yee  
• “ An executive’s guide to AI ,” Michael Chui , Vishnu Kamalnath, and Brian McCarthy
• “ What AI can and can’t do (yet) for your business ,” January 11, 2018,  Michael Chui , James Manyika , and Mehdi Miremadi

This article was updated in April 2024; it was originally published in January 2023.

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