IEEE Women in Engineering

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Eliminating Bias from Technology for Developers

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …

Internet of Things (IoT) Cybersecurity Challenges

Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106

Internet of Things (IoT) technologies are changing how humans interact with the world. While we focus on the benefits and new opportunities, there are a growing number of cybersecurity challenges that aren’t always as clear. Some of those challenges apply in the same ways to multiple types of IoT devices and technologies, and others are …

IEEE WIE
X
X