Summary

“But I already have a LinkedIn account.” That’s a great start – 10 years ago.

There’s a tsunami of new apps and technologies all promising to streamline the process of hiring talent. Is it effective? Is it efficient? Is it working? Is it AI? Is there an algorithm? Well, as long as there’s an algorithm, we’ll all be fine…

This interactive session will focus on the latest apps and programs, especially the introduction of artificial intelligence, related to the hiring process.

Lot’s o’ apps…

• Describe your experience with online and app-based programs for recruitment, interviewing, and hiring.

• What are your impressions of these programs? Both positive and negative…

For example: Video interview options…Async Interview• Bosch, HEI Hotels and Resorts SparkHire• BAE Systems, USPS, IKEA, VolkswagenInterviewStream• Dell, Sodexo, Cigna, Hershey, VidCruiter• GM, KPMG Accounting, Axa Insurance, Express RecruitingHireVue• Nike, Intel, Geico, Honeywell, Mercedes-Benz, Deloitte

Positives

• Reduces time and costs for employers.

• Provides opportunities for candidates to vet employers.

• Maximum visibility of opportunities.

• Potential to match candidates to best-fit opportunities.

Negatives

• Privacy concerns.

• Compliance and liability.

• Incomplete or inaccurate information.

• Impersonal and overwhelming.

• Software or programming errors.

• Overreliance on technology.

Tech Development and Usage

• Differing perspectives of app/software developers, employers, and candidates can lead to issues with platform usability.

• 75% of recruiters and talent managers use some form of recruiting or applicant tracking software.

• Of those, 94% say software has improved the hiring process.

Algorithms

• Sequence of instructions (like a recipe in a cook book) telling a computer what to do.

• These systems are examples of machine learning (predictive analytics) – this means instead of repeatedly processing a stable set of instructions they rewrite themselves as they work.

Artificial Intelligence

• A research field in computer science that investigates how to construct specific algorithms which behave in a way which can be deemed intelligent.

Artificial Intelligence• 3 qualities: intentionality, intelligence, and adaptability.

• Intentionality - Make decisions, often using real-time data, and reach conclusions based on instant analysis.

• Intelligence – Machine learning takes data and looks for underlying trends. If it spots something relevant for a problem, software designers use that knowledge with data analytics to understand specific issues.

• Adaptability – Learn and adapt and make decisions as information is compiled.

Predicting Employment Through Machine LearningNational Association of Colleges and Employers, NACE Journal, May 2019

By Linsey S. Hugo, College of Business Director of Employer Relations, Ohio University

When university career centers consider developing predictive models:

• Ask questions: Continuously questioning the data provides the foundation for both data analytics and machine learning.

• Compile data: Requires an understanding of what data you need and different sources for procuring that information.

https://bit.ly/30yadbm

When university career centers consider developing predictive models:

• Develop models: The process of machine learning requires the patience to test models repetitively so that the model can learn.

• Small changes to the data or the model can result in drastically different outcomes. The more data a machine learning model intakes and the more times it runs, the more accurate it becomes.

https://bit.ly/30yadbm

AI and Hiring

Faster Initial Selection ProcessSearch to find matching candidates, make contact, conduct preliminary interviews, assess resumes, and present the best options for an interview.

Ensuring Best FitFill in the gaps for an employer by assessing not just the candidate's resume, but the candidate's online presence and overall fit more accurately.

AI and Hiring

Skills To Engage With Recruitment PlatformsBiometric and psychometric analysis to evaluate the quality of candidate answers but also voice quality, pace of speech, voice energy, use of fillers, facial micro-expressions and body language.

Vetting For CharacterDetermining if an employee is going to be honest/ethical and represent the company well.

AI and Hiring

Interview Process• Presents a new set of

challenges because applicants no longer benefit from social and visual cues.

• Applicants must have robust preparation to convey essential information and set themselves apart.

• Many job seekers are comfortable with the idea of interacting with machine-learning chatbots and other AI apps during the hiring process, according to a survey from Allegis Global Solutions.

• Chatbots (available 24/7, without the need for direct human interaction) are automated versions of 'live chat' that can understand questions and provide responses, based on previous questions.

Survey: Many Job Seekers Are Ready to Work with AI, Chatbots May 17, 2017

• 58% - Fairly to extremely comfortable interacting with chatbots to answer questions in the application and interview process

• 42% - Feeling uneasy or extremely uneasy about having to communicate with the bots.

• 66% - Glad to have chatbots help with interview scheduling and preparation.

• 61% - Either fairly or extremely comfortable having their skills assessed by artificial intelligence tools.

Many Job Seekers Are Ready to Work with AI, Chatbots

May 17, 2017

Survey: Employers Using Social Media to Find Passive Candidates January 7, 2016

• LinkedIn is the most used (cited by 96% of respondents) • and considered the most effective (73%) social media site for

recruiting.

• Facebook (66%) and Twitter (53%) are gaining in popularity.

• Organizations with <99 employees are more likely to recruit using professional or association networking sites.

• >25,000 employees are more likely to recruit using YouTube.

• 89% of orgs use social media to post job ads, and 75% use it to contact candidates. Survey: Employers Using

Social Media to Find Passive Candidates

January 7, 2016

• 82% of organizations use social media to recruit managers.

• 55% are using social media to recruit hourly employees.

Survey: Employers Using Social Media to Find Passive Candidates

January 7, 2016

Using Social Media to Recruit/Hire

• 46% cited concerns about legal risks, and discovering information about protected characteristics as a major issue.

• An equal number cited “not having enough time” to review content as a reason to avoid using social media for recruiting.

Survey: Employers Using Social Media to Find Passive Candidates

January 7, 2016

Sources• The Pros and Cons of Using Social Media in the Recruitment Process. 6 Sept. 2017, www.yoh.com/blog/the-pros-and-

cons-of-using-social-media-in-recruitment-process.• Recruiting Software Impact Report. 6 May 2015, https://www.capterra.com/recruiting-software/impact-of-recruiting-

software-on-businesses• What is Artificial Intelligence? 4 Oct. 2018, www.brookings.edu/research/what-is-artificial-intelligence/• What’s the Deal With Algorithms? 2 Feb. 2016,

http://www.slate.com/articles/technology/future_tense/2016/02/what_is_an_algorithm_an_explainer.html• What is the Difference Between Artificial Intelligence and Algorithms? 9 Feb. 2016, https://www.quora.com/What-is-

the-difference-between-artificial-intelligence-and-algorithms• 10 Ways Artificial Intelligence Will Change Recruitment Practices. 10 Aug. 2018,

https://www.forbes.com/sites/forbescoachescouncil/2018/08/10/10-ways-artificial-intelligence-will-change-recruitment-practices/#32b58d2c3a2c

• Many Job Seekers Are Ready to Work with AI, Chatbots. 17 May 2017, https://www.shrm.org/resourcesandtools/hr-topics/talent-acquisition/pages/many-job-seekers-are-ready-to-work-with-ai-chatbots.aspx

• Survey: Employers Using Social Media to Find Passive Candidates. 7 Jan. 2016, https://www.shrm.org/resourcesandtools/hr-topics/talent-acquisition/pages/using-social-media-find-passive-candidates.aspx

• The Next Frontier in Hiring is AI-Driven: Can AI Ease the Stress of Recruiting? 30 Jan. 2019, https://www.theverge.com/2019/1/30/18202335/ai-artificial-intelligence-recruiting-hiring-hr-bias-prejudice

• Predicting Employment Through Machine Learning. 1 May 2019, https://www.naceweb.org/career-development/trends-and-predictions/predicting-employment-through-machine-learning/?utm_source=twan&utm_medium=email&utm_content=txt-head&utm_campaign=content