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The AI Conundrum: How HR Can Prepare for the Storm of Change

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The AI Conundrum: How HR Can Prepare for the Storm of Change

  1. 1. THEHRPULSE: NEWAIREGULATIONS ONTHERISE WEBINAREXCLUSIVE JANUARY 24, 2023 9:30 AM PT 12:30 PM ET 5:30 PM GMT
  2. 2. 03 Started and run by an experienced and successful group of digital media entrepreneurs, Aggregage is re-imagining and building out the next generation of business media in a way that meets the needs and expectations of today’s business professionals and B2B marketers. Using social media, machine intelligence/smart algorithms and big data, Aggregage’s ever-growing portfolio of industry-sector focused verticals delivers the most engaging and relevant content to each industry’s professionals. To learn more, visit www.Aggregage.com The Next Generation of B2B Media
  3. 3. TO USE YOUR TELEPHONE: You must select "Use Telephone" after joining and call in using the numbers below. United States: +1 (415) 655-0052 Access Code: 245-975-631 Audio PIN: Shown after joining the webinar TO USE YOUR COMPUTER'S AUDIO: When the webinar begins, you will be connected to audio using your computer's microphone and speakers (VoIP). A headset is recommended. Click on the Questions panel to interact with the presenters
  4. 4. THEHRPULSE: NEWAIREGULATIONS ONTHERISE WEBINAREXCLUSIVE
  5. 5. Artificial Intelligence • HR Tech is a $20 BILLION industry • National Artificial Intelligence Initiative Act of 2020 defines as a “machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments.” • AI will affect every facet of the employee lifecycle • Potential for new regulations & a new frontier for litigation
  6. 6. AI & Analytic Forms • Text analytics • Audio & video analytics • Usage analytics • Predictive modeling
  7. 7. Use Today • Recruiting: –Analyzing candidate pools –Finding candidates –Background checks • Employee: –Determining productivity –Monitoring for security risks –Determining potential –Compensation analysis –Potential flight risks –Succession planning • Post-employment: –Use of confidential information –Network analysis for solicitation
  8. 8. Problems • Are the factors correlations? –Particularly for machine learning as more learning affects the analysis –What is job-related? • Is the data any good or useful? –“All HR data is bad data” –Contains multitudes of bias –Is the data accurate or complete? • Will we know how it works? –Black boxes? –Ability to test or share it? • How can we verify not biased?
  9. 9. The Law • The law is bad & slow • Discrimination – Disparate treatment doesn’t quite work – Disparate impact doesn’t quite work – Another option? • Privacy – EU & California leading the law on the use of employee data – Allow employees to control their data to a certain extent – If using private data, does the employee/candidate know & give meaningful consent? – Do they understand what it is they are consenting to? – Get around the regulations by anonymizing?
  10. 10. How the Bill of Rights Works • Two-part test: –Automated systems that –Have the potential to meaningfully impact the American public’s rights, opportunities, or access to critical resources or services • Civil rights & liberties • Privacy • Equal opportunities • Critical resources & services
  11. 11. California Consumer Privacy Act • Privacy law designed to ”give agency” to individuals over their own data • Includes data collected by employers • Rights –To know –Opt out of sale or sharing –Opt out of automated decision making –Correction –Deletion –Limit use of sensitive
  12. 12. NYC AI in Employment Decisions • Subject automated employment decision tools to a bias audit within one year of its use • Ensure that the results of such audits are publicly available • Provide particular notices to job candidates regarding the employer’s use of these tools • Allow candidates or employees to potentially request alternative evaluation processes as an accommodation • Enforcement delayed until April 2023
  13. 13. Amazon Example • Amazon is huge into automation • Reviewing resumes/applications is a long, labor- intensive endeavor • Review 100 candidates, spit out the top five • The tool learned Amazon preferred men • Tried to fix this – remove proxies for gender • Still a problem • Scrapped the program in 2018 • Some tech company is trying to do this
  14. 14. Privacy: Illinois AI Interview • Notify applicants that AI will be used in their video interviews. • Explain to applicants how the AI works & what characteristics the AI will be tracking in relation to their fitness for the position. • Obtain the applicant’s consent to use AI to evaluate the candidate. • Only share the video interview with those who have AI expertise needed to evaluate the candidate and must otherwise keep the video confidential. • Employers must comply with an applicant’s request to destroy their interview video within 30 days
  15. 15. HireVue • HireVue is a video-interviewing platform that added AI to conduct analysis on the videos themselves • Word choice, word complexity, facial analysis, eye contact all used as factors to determine candidate rating • Finally, conducted analysis on whether bias could play a part • 😱 😱 😱 😱 it did!! • Announcement 1 year after stopped using it
  16. 16. To Ask A Vendor • Has the process demonstrated adverse impact? • What validation evidence has been collected to establish the job relatedness of the algorithm? For each job? • Does the validation evidence comply with the requirements of UGESP? Get a copy of the validation study • Does it use an adverse bias mechanism to test for bias? • What is the data security? • How anonymized? • What kind of ongoing monitoring do you provide as we continue using it? • Contracting: – Vendor provides supervised training – Required to provide information if litigation or agency review occurs – Avoid indemnification language or ask for your org to be indemnified
  17. 17. Takeaways • AI is coming • So are the laws & regulations… eventually • Assess where you’re at right now – What data do you or your vendor have? – How are you using it? – Any AI right this second? – Determine whether to evaluate • Employer is ALWAYS responsible for employment decisions – NOT a vendor
  18. 18. CEO and Founder of k8bisch LLC (formerly tHRive Law & Consulting) Kate Bischoff /in/k8bisch/ k8bisch.com / Webinar Production Manager Human Resources Today Rayvonne Carter /in/rayvonnecarter/ HumanResources Today.com Q&A

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