{"id":13774,"date":"2020-06-23T09:48:43","date_gmt":"2020-06-23T13:48:43","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=13774"},"modified":"2020-06-23T09:48:43","modified_gmt":"2020-06-23T13:48:43","slug":"a-human-centric-approach-to-ai","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2020\/06\/a-human-centric-approach-to-ai\/","title":{"rendered":"A Human-Centric Approach to AI"},"content":{"rendered":"\"Carol\n

At first glance, Carol Reiley\u2019s artificial intelligence projects appear wildly diverse: Self-driving cars. Surgical robots. Symphonic music.<\/p>\n

But a common theme ties them together: How to build human-machine collaborations that improve lives. \u201cHow do we transcend human limitations but always have the human making the decisions and in control?\u201d says Reiley MS \u201907. \u201cI feel like on the surface, there are many different applications of robots, but essential to every project I\u2019ve worked on has been helping people.\u201d<\/p>\n

Co-founder and former president of Drive.ai, the self-driving car startup purchased in 2019 by Apple, Reiley was drawn to the technology by the promise of fewer auto accident deaths, which hover at around 40,000 per year in the United States. \u201cIt\u2019s crazy that we\u2019re so immune to those deaths,\u201d she says. \u201cI thought self-driving cars would be a way to save lives proactively, and I also see self-driving cars as the world\u2019s first mass-scale robot, and that\u2019s going to come with a lot of challenges.\u201d<\/p>\n

Reiley grew up in Washington state and, inspired by Bill Gates and Steve Jobs, knew she wanted to be an entrepreneur. But she didn\u2019t know if technology was the right path for her. While volunteering at a local hospital when she was a teen, she considered becoming a doctor. But it was only after discovering the robotics lab while earning her bachelor\u2019s degree in computer engineering at Santa Clara University in California that Reiley found her calling.<\/p>\n

She went on to earn a master\u2019s degree in computer science<\/a> from the Whiting School, specializing in haptic feedback. The principles of scientific inquiry and public spirit ethos she found at Johns Hopkins have carried with her throughout her career.<\/p>\n

\u201cHopkins has an altruistic focus that pervades all through the university,\u201d Reiley says. \u201cIn a time where AI and computer science can impact so many different fields, it was really interesting to realize that a lot of startups didn\u2019t care about ethics or the customer in a human way\u2014it was more about earning money or selling your company. It made me realize that everything at Hopkins is very human-centric, and people were very front and center. It was mission-focused.\u201d<\/p>\n

After taking leave from her doctoral program, just months before completing her studies, Reiley joined Intuitive Surgical to work on Da Vinci surgical robots, using augmented reality to help surgeons track and control the amount of force they applied during procedures.<\/p>\n

She began Drive.ai in 2015 and was named one of Forbes<\/em>\u2019 Top 50 Women in Tech in 2018.<\/p>\n

Today, Reiley is working on a new health care startup tied to genetics and women\u2019s health. She also serves on the technical board at Harman International, a consumer electronics company, and is beginning a five-year term as a creative adviser for the San Francisco Symphony, where she will explore bridging the arts and artificial intelligence. Projects she\u2019s contemplating for the symphony range from AI-assisted composition pieces to new types of musical instruments for education.<\/p>\n

\u201cOut of all my projects, this is the research area that\u2019s resonated the most with people,\u201d she says. \u201cI think everyone is interested in the arts and creativity, and how AI and technology will impact it for the future. Like how the computer enhances the way people work, I\u2019m hoping AI technology can enhance how artists work, freeing them up to be more creative.\u201d<\/p>\n

Reiley\u2019s personal favorite project leans to the creative side. She wrote and self- published Making a Splash: A Growth Mindset Children\u2019s Book<\/em>, which has sold 20,000 copies. The book emphasizes that intelligence can be developed and failure is part of learning.<\/p>\n

\u201cIt\u2019s such an important subject for any age,\u201d she says. \u201cEveryone in life experiences failure, and this book is about how to strategize getting unstuck. Some people may even view Drive.ai being acquired by Apple last year as a failure instead of it becoming the next stand-alone billion- dollar company. I see it as an opportunity for my next company to get there.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

At first glance, Carol Reiley\u2019s artificial intelligence projects appear wildly diverse: Self-driving cars. Surgical robots. Symphonic music.<\/p>\n","protected":false},"author":4,"featured_media":13850,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[26],"tags":[4386,1218,1148,1040],"class_list":["post-13774","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-alumni","tag-self-driving-cars","tag-entrepreneurship","tag-robotics","tag-artificial-intelligence","issue-summer-2020"],"acf":[],"yoast_head":"\nA Human-Centric Approach to AI - JHU Engineering Magazine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2020\/06\/a-human-centric-approach-to-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Human-Centric Approach to AI - JHU Engineering Magazine\" \/>\n<meta property=\"og:description\" content=\"At first glance, Carol Reiley\u2019s artificial intelligence projects appear wildly diverse: Self-driving cars. 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