Algorithmic bias

HireVue Science Team Showcases Latest Research on Ethical AI and Performance Prediction at SIOP Annual Conference

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星期三, 四月 10, 2024
Society, Walmart, Publication, HR, Psychology, Conference, Research, Artificial intelligence, SIOP, Data science, Human, Charter Communications, Eye, IO, Fairness, Algorithmic bias, Algorithm

SALT LAKE CITY, April 10, 2024 (GLOBE NEWSWIRE) -- HireVue, the pioneer and global leader in Human Potential Intelligence, today announced its latest research publications and contributions to industrial organizational psychology, data science, and talent assessment. The team will present 23 sessions at the Society for Industrial Organizational Psychology’s (SIOP) Annual Conference, and principal IO consultant, Dr. Carter Gibson, will receive the coveted award for Distinguished Early Career Contribution.

Key Points: 
  • The team will present 23 sessions at the Society for Industrial Organizational Psychology’s (SIOP) Annual Conference, and principal IO consultant, Dr. Carter Gibson, will receive the coveted award for Distinguished Early Career Contribution.
  • The HireVue Science Team continues to advance both theory and practice at the intersection of performance prediction and the ethical creation of artificial intelligence.
  • This year’s SIOP presentations emphasize how to ethically use AI to score video interviews, game-based assessments, and job simulations while delivering more predictive hiring than if humans made the decisions alone.
  • “Carter continually exemplifies the scientist-practitioner model through his commitment to improving how companies identify and select high-potential talent,” said Dr. Mike Hudy, Chief Science Officer at HireVue.

Sapia.ai to present groundbreaking research on ethical AI for recruitment at SIOP Conference 2023

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星期一, 四月 17, 2023
Online, Mitigation, Psychology, Natural language processing, Unemployment, Collection, Versatile, SIOP, Plagiarism, Disability, Research, NLP, Interview, Algorithmic bias, Machine learning, Prevalence, Assessment, Racism, Personality, AI, Bias, Conference, Natural language, Software, Medical device, Phuthuma Nhleko

MELBOURNE, Australia, April 17, 2023 /PRNewswire/ -- AI recruitment software provider Sapia.ai is set to showcase innovative research across four sessions at the upcoming SIOP 2023 Conference in Boston.

Key Points: 
  • MELBOURNE, Australia, April 17, 2023 /PRNewswire/ -- AI recruitment software provider Sapia.ai is set to showcase innovative research across four sessions at the upcoming SIOP 2023 Conference in Boston.
  • With the largest submission from an Australian-founded AI company, Sapia is proud to present cutting-edge research that will greatly catalyze the evolution and adoption of ethical AI, Natural Language Processing, and Machine Learning in the field of industrial-organizational psychology.
  • This session examines the findings of Sapia's research paper, Reducing Disability BIas with Chat-Based Interviews.
  • Sapia.ai's participation in the SIOP 2023 Conference highlights the company's ongoing commitment to discourse within the SIOP and wider I-O communities.

HireVue Science Team Announces Latest Research Achievements & Innovations

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星期四, 四月 13, 2023
Industrial and organizational psychology, Society, SIOP, Journal of Applied Psychology, Autism spectrum, Psychology, Data science, American Psychological Association, Research, Lake City, Science, Legislation, Journal, Ethics, Algorithmic bias, Ben Goertzel, Big data, Century, Artificial intelligence, Lisa Feldman Barrett, AI, Conference, Arnold Bakker, Social and Behavioral Sciences Team, Psychological Science, Software, Management, Medical device

Salt Lake City, Utah, April 13, 2023 (GLOBE NEWSWIRE) -- HireVue , the global leader in video interviewing, assessments, and text-enabled recruiting tools today announced its latest research achievements and contributions to the fields of Industrial Organizational Psychology, Data Science, and Talent Assessment.

Key Points: 
  • Salt Lake City, Utah, April 13, 2023 (GLOBE NEWSWIRE) -- HireVue , the global leader in video interviewing, assessments, and text-enabled recruiting tools today announced its latest research achievements and contributions to the fields of Industrial Organizational Psychology, Data Science, and Talent Assessment.
  • The team will be presenting 11 sessions at the Society for Industrial Organizational Psychology’s (SIOP) Annual Conference.
  • The company also published  groundbreaking research in the Journal of Applied Psychology, “ New Strategies for Addressing the Diversity–Validity Dilemma With Big Data.
  • ”
    Of the sixty-five peer reviewed and accepted sessions covering assessments and testing, HireVue’s Science Team accounts for 16% of this year’s total presentations.

Leading Employers Adopt Criteria To Mitigate Algorithmic Bias In Workforce Decisions

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星期三, 十二月 8, 2021
Trust, Business Roundtable, SVP, Information technology, Algorithm, Health, Awareness, General Motors, Culture, D, Mastercard, Workforce, NIKE, General Catalyst, Ethics, Data, Meta, Armour, HR, Nike, CEO, Industry, Trust (social science), Organization, CVS, American Express, Machine learning, Safeguard, Consultant, Education, Algorithmic bias, Policy, Bias, CVS Health, EVP, Solution, AI, IBM, Nielsen, Artificial intelligence, Deloitte, Airline, Management, Medical device, Public relations

NEW YORK, Dec. 8, 2021 /PRNewswire/ -- More than a dozen of the world's leading employers today announced that they are adopting criteria to mitigate data and algorithmic bias in human resources and workforce decisions, including recruiting, compensation and employee development.

Key Points: 
  • NEW YORK, Dec. 8, 2021 /PRNewswire/ -- More than a dozen of the world's leading employers today announced that they are adopting criteria to mitigate data and algorithmic bias in human resources and workforce decisions, including recruiting, compensation and employee development.
  • While embracing these new technologies, member companies also identified potential unfair bias as one of the highest risks associated with using them to augment workforce management.
  • That concern led the Alliance to design its first initiative, "Algorithmic Safety: Mitigating Bias in Workforce Decisions," to help companies evaluate vendors based on their ability to detect, mitigate, and monitor algorithmic bias.
  • CEO support for the Algorithmic Bias Safeguards:
    Arvind Krishna, chairman and chief executive officer, IBM: "Trustworthy AI is crucial for businesses.

Leading Employers Adopt Criteria To Mitigate Algorithmic Bias In Workforce Decisions

Retrieved on: 
星期三, 十二月 8, 2021
Trust, Business Roundtable, SVP, Information technology, Algorithm, Health, Awareness, General Motors, Culture, D, Mastercard, Workforce, NIKE, General Catalyst, Ethics, Meta, Armour, HR, Nike, CEO, Industry, Trust (social science), Organization, CVS, American Express, Machine learning, Safeguard, Consultant, Education, Algorithmic bias, Policy, Bias, CVS Health, EVP, NEW, Solution, AI, IBM, Nielsen, Artificial intelligence, Deloitte, Cryptocurrency, Airline, Management, Medical device, Public relations

NEW YORK, Dec. 8, 2021 /PRNewswire/ -- More than a dozen of the world's leading employers today announced that they are adopting criteria to mitigate data and algorithmic bias in human resources and workforce decisions, including recruiting, compensation and employee development.

Key Points: 
  • Data & Trust Alliance Formed to Advance Algorithmic Safety, Built on Responsible Data and AI Practices
    NEW YORK, Dec. 8, 2021 /PRNewswire/ -- More than a dozen of the world's leading employers today announced that they are adopting criteria to mitigate data and algorithmic bias in human resources and workforce decisions, including recruiting, compensation and employee development.
  • While embracing these new technologies, member companies also identified potential unfair bias as one of the highest risks associated with using them to augment workforce management.
  • That concern led the Alliance to design its first initiative, "Algorithmic Safety: Mitigating Bias in Workforce Decisions," to help companies evaluate vendors based on their ability to detect, mitigate, and monitor algorithmic bias.
  • CEO support for the Algorithmic Bias Safeguards:
    Arvind Krishna, chairman and chief executive officer, IBM: "Trustworthy AI is crucial for businesses.

Finastra announces winner of its hackathon to tackle bias in financial services

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星期二, 四月 20, 2021
Technology, Articles, Science and technology, Hacker culture, Finastra, Hackathon, Algorithmic bias, Tanda, Credit card

b'LONDON, April 20, 2021 /PRNewswire/ -- Finastra has announced the winner of its recent hackathon - Hack to the Future 3 .

Key Points: 
  • b'LONDON, April 20, 2021 /PRNewswire/ -- Finastra has announced the winner of its recent hackathon - Hack to the Future 3 .
  • Launched to help build an unbiased fintech future , the event saw over 600 participants from more than 50 countries, including Antarctica.
  • tandas in Mexico, enable people with lack of financial knowledge and access to credit cards and bank loans to obtain money quickly through a money-pooling fund.\ntinch.
  • During International Women\'s Day we shared a point of view that AI bias, if unchecked, could be one of the biggest drivers of inequality in our lifetime.

Finastra announces winner of its hackathon to tackle bias in financial services

Retrieved on: 
星期二, 四月 20, 2021
Technology, Articles, Science and technology, Hacker culture, Finastra, Hackathon, Algorithmic bias, Tanda, Credit card

b'LONDON, April 20, 2021 /PRNewswire/ -- Finastra has announced the winner of its recent hackathon - Hack to the Future 3 .

Key Points: 
  • b'LONDON, April 20, 2021 /PRNewswire/ -- Finastra has announced the winner of its recent hackathon - Hack to the Future 3 .
  • Launched to help build an unbiased fintech future , the event saw over 600 participants from more than 50 countries, including Antarctica.
  • tandas in Mexico, enable people with lack of financial knowledge and access to credit cards and bank loans to obtain money quickly through a money-pooling fund.\ntinch.
  • During International Women\'s Day we shared a point of view that AI bias, if unchecked, could be one of the biggest drivers of inequality in our lifetime.

New Report Finds Artificial Intelligence and Algorithmic Lending Can Reduce Racial Discrimination in Mortgage Industry

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星期三, 三月 10, 2021
Articles, Academic disciplines, Science and technology, Loans, Mortgage loan, Artificial intelligence, Algorithmic bias

WASHINGTON, March 10, 2021 /PRNewswire/ -- The Financial Services Innovation Coalition (FSIC) and Creative Investment Research today released a new report that finds artificial intelligence (AI) and algorithmic lending can play an important role in reducing racial disparities in mortgage lending.

Key Points: 
  • WASHINGTON, March 10, 2021 /PRNewswire/ -- The Financial Services Innovation Coalition (FSIC) and Creative Investment Research today released a new report that finds artificial intelligence (AI) and algorithmic lending can play an important role in reducing racial disparities in mortgage lending.
  • The report, Artificial Intelligence and Algorithmic Lending Has the Potential to Reduce Discrimination in Mortgage Lending , explores the rise of non-bank lenders and their adoption of AI and algorithmic systems, the obstacles lenders have faced in creating non-biased underwriting, and the path forward for continuing to reduce discrimination in home-buying process.
  • "For too long, Blacks and other minorities in the United States have been victimized by bias both conscious and unconscious in the lending sector.
  • The report validates a recent study that found AI-based systems have proven to reduce racial bias by 40 percent and shows no discrimination in rejection rates.

Financial industry must tackle gender bias in algorithms, according to global fintech leader, Finastra

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星期四, 三月 4, 2021
Articles, Information ethics, Technology, Science and technology, Algorithmic bias, Bias, Discrimination, Machine learning, Philosophy of artificial intelligence, KPMG, Finastra

In response to the findings, Finastra has published a five-point plan to identify and tackle algorithmic bias and is urging the financial industry to come together to take action and build a fairer society.

Key Points: 
  • In response to the findings, Finastra has published a five-point plan to identify and tackle algorithmic bias and is urging the financial industry to come together to take action and build a fairer society.
  • The industry must check if the biases that exist in society are being repeated through the design and deployment of these technologies.
  • Dr Leanne Allen, Director at KPMG Financial Services Tech Consulting, said, "Consumer and public trust are critical success factors for Financial Services.
  • The report brings together recent thinking on algorithmic bias, with specific applications to financial services and the potential for biased decision-making.

Financial industry must tackle gender bias in algorithms, according to global fintech leader, Finastra

Retrieved on: 
星期四, 三月 4, 2021
Articles, Information ethics, Technology, Science and technology, Algorithmic bias, Bias, Discrimination, Machine learning, Philosophy of artificial intelligence, KPMG, Finastra

In response to the findings, Finastra has published a five-point plan to identify and tackle algorithmic bias and is urging the financial industry to come together to take action and build a fairer society.

Key Points: 
  • In response to the findings, Finastra has published a five-point plan to identify and tackle algorithmic bias and is urging the financial industry to come together to take action and build a fairer society.
  • The industry must check if the biases that exist in society are being repeated through the design and deployment of these technologies.
  • Dr Leanne Allen, Director at KPMG Financial Services Tech Consulting, said, "Consumer and public trust are critical success factors for Financial Services.
  • The report brings together recent thinking on algorithmic bias, with specific applications to financial services and the potential for biased decision-making.