Progress, the trusted provider of application development and infrastructure software, has announced the results of its global survey, “Data Bias: The Hidden Risk of AI.” Conducted by independent research firm Insight Avenue, the Progress global survey is based on interviews with more than 640 business and IT professionals, director level and above, who use data to make decisions and are using or planning to use artificial intelligence (AI) and machine learning (ML) to support their decision-making. The full report and findings can be found here.
Biases in AI Are a Problem
Biases are often inherited by cultural and personal experiences. When data is collected and used in training ML models, the models inherit the bias of the people building them. This produces unexpected and potentially harmful outcomes. Yet, despite the potential legal and financial pitfalls associated with data bias, there is a lack of understanding around the training, processes and technology needed to tackle data bias successfully.
The Progress survey indicated that 74% of Singaporean business and IT decision-makers believe data bias will become a bigger concern as AI/ML use increases. However, only 16% are currently addressing it and have an ongoing evaluation process. The biggest barriers they see are:
- Lack of awareness of potential biases
- Difficulties in understanding how to identify bias
- Lack of available expert resources, such as having access to data scientists
More Findings from the Survey
The survey findings also show:
- 58% of organisations anticipate becoming more reliant on AI/ML decision-making in the coming years.
- 68% believe there is currently data bias in their organisation.
- 74% believe they need to be doing more to address data bias.
- 48% consider lack of awareness and understating of biases as a barrier to addressing it.
“Bias can be a serious detriment to growth. Indeed, one in two Singaporean businesses cites eroding customer trust as the biggest implication of unchecked data bias. Local organisations are also worried about lost financial opportunities (48%) as well as security and governance risks (38%),” said John Yang, Vice President for Asia Pacific and Japan at Progress. “At Progress, we strive to help businesses make insightful decisions. Our customers are central to everything we do and we put them first as we explore how AI/ML can enhance effective decision-making that drives businesses forward.”
The results of the survey are based on interviews with business and IT professionals located across the Americas, Europe and Asia. It focused on the use of data in decision-making. These professionals come from organisations with over 500 employees to better understand the overall awareness of data bias, how it was impacting businesses and what companies were doing to address it.
To view the full findings, go to https://progress.com/papers/data-bias-the-hidden-risk-of-ai.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)