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Getting Ethical AI Right—And Why It Matters to Us as Investors
Artificial intelligence appears poised to disrupt industries, improve customer outcomes, and enhance lives, and solutions based on AI are projected to contribute as much as $15 trillion to the global economy in 2030—more than the current output of China and India combined. The problem-solving potential of AI is seemingly limitless, and it may well change the way we work, travel, power our cities, diagnose disease, and organize our society.
And yet there are reasons to be cautious. Information is power, and that power can be used for good or for ill. In this episode, Brown Advisory’s Katherine Kroll explores the investor case for “ethical AI” and why failing to proactively ensure AI is used to help, not harm, is a material and salient risk not only to investment performance but to our society’s ability to thrive. She speaks with three of the foremost experts on ethical AI: Aza Raskin, co-founder of the Center for Humane Technology; Arathi Sethumadhavan, Ph.D., Head of User Research for Ethics & Society at Microsoft; and Kay Firth-Butterfield, Head of AI and Machine Learning, World Economic Forum.
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The views expressed are those of the author and Brown Advisory as of the date referenced and are subject to change at any time based on market or other conditions. These views are not intended to be and should not be relied upon as investment advice and are not intended to be a forecast of future events or a guarantee of future results. Past performance is not a guarantee of future performance, and you may not get back the amount invested. The information provided in this material is not intended to be and should not be considered to be a recommendation or suggestion to engage in or refrain from a particular course of action or to make or hold a particular investment or pursue a particular investment strategy, including whether or not to buy, sell, or hold any of the securities mentioned. It should not be assumed that investments in such securities have been or will be profitable. To the extent specific securities are mentioned, they have been selected by the author on an objective basis to illustrate views expressed in the commentary and do not represent all of the securities purchased, sold or recommended for advisory clients. The information contained herein has been prepared from sources believed reliable but is not guaranteed by us as to its timeliness or accuracy and is not a complete summary or statement of all available data. This piece is intended solely for our clients and prospective clients, is for informational purposes only and is not individually tailored for or directed to any particular client or prospective client.
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By Brown Advisory
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Artificial intelligence appears poised to disrupt industries, improve customer outcomes, and enhance lives, and solutions based on AI are projected to contribute as much as $15 trillion to the global economy in 2030—more than the current output of China and India combined. The problem-solving potential of AI is seemingly limitless, and it may well change the way we work, travel, power our cities, diagnose disease, and organize our society.
And yet there are reasons to be cautious. Information is power, and that power can be used for good or for ill. In this episode, Brown Advisory’s Katherine Kroll explores the investor case for “ethical AI” and why failing to proactively ensure AI is used to help, not harm, is a material and salient risk not only to investment performance but to our society’s ability to thrive. She speaks with three of the foremost experts on ethical AI: Aza Raskin, co-founder of the Center for Humane Technology; Arathi Sethumadhavan, Ph.D., Head of User Research for Ethics & Society at Microsoft; and Kay Firth-Butterfield, Head of AI and Machine Learning, World Economic Forum.
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The views expressed are those of the author and Brown Advisory as of the date referenced and are subject to change at any time based on market or other conditions. These views are not intended to be and should not be relied upon as investment advice and are not intended to be a forecast of future events or a guarantee of future results. Past performance is not a guarantee of future performance, and you may not get back the amount invested. The information provided in this material is not intended to be and should not be considered to be a recommendation or suggestion to engage in or refrain from a particular course of action or to make or hold a particular investment or pursue a particular investment strategy, including whether or not to buy, sell, or hold any of the securities mentioned. It should not be assumed that investments in such securities have been or will be profitable. To the extent specific securities are mentioned, they have been selected by the author on an objective basis to illustrate views expressed in the commentary and do not represent all of the securities purchased, sold or recommended for advisory clients. The information contained herein has been prepared from sources believed reliable but is not guaranteed by us as to its timeliness or accuracy and is not a complete summary or statement of all available data. This piece is intended solely for our clients and prospective clients, is for informational purposes only and is not individually tailored for or directed to any particular client or prospective client.