Artificial intelligence can a “black box”—mysterious and more than a little intimidating. Meanwhile, new permutations of the tech are sprouting up like mushrooms, especially for recruiting and hiring. Yet as employers have increasingly tried to make their workforces more diverse and inclusive, the A.I. industry itself has taken some flak for being almost exclusively white and male. For instance, a recent study by New York University researchers points out that at tech giants like Facebook and Google, such tiny percentages of employees are female or nonwhite that the whole business is suffering a “diversity crisis.”

The irony there is that A.I., used correctly, has “a shot at being better at decision-making than we humans are, particularly in hiring,” says Aleksandra Mojsilovic. A research fellow in A.I. at IBM, Mojsilovic holds 16 patents in machine learning, and helped develop algorithms that can check other algorithms for unintended bias. An essential part of using A.I. to encourage diversity, she notes, is making sure the teams that build what goes into the black box are themselves a diverse group, with a variety of backgrounds and points of view.


“Any A.I. tool can only be as good—and as impartial—as the data we put in,” Mojsilovic says. “It’s not about replacing human intelligence, but rather about complementing it.”

A.I. has helped companies find and attract new hires of all sexes, ages, and ethnicities. Here are four main ways it’s helped them to do that:

A.I. knows how to speak to your best candidates

The words in job postings matter, not least because they often unwittingly discourage some potential hires from applying. “We as humans take our best guess at what will resonate with job seekers, but we’re often wrong,” notes Kieran Snyder, cofounder and CEO of the A.I. firm Textio.

Using a dataset of about 500 million actual job ads, and A.I. that analyzes the real-life responses they got, Textio advises companies on which words to use—and avoid. At client eBay, for instance, the phrase “prior experience” drew a 50% increase in male applicants. “But the phrase ‘demonstrated ability’—even though it means essentially the same thing—attracted 40% more women,” Snyder says.


Language that is neutral across sexes, races, and ethnicities “changes rapidly. There is no ‘use-these-10-words’ list,” she adds. “But the right word at the right moment does attract the most diverse possible group of applicants.”

A.I. widens the pool of eligible workers

A.I. also has the power to cast a wider net across unmanageable geographies. Take, for example, campus recruiting. Employers can send only so many humans to a limited number of campuses—but what if the perfect hire skipped the job fair, or goes to a different school entirely?

“A student at an obscure college where you’d never send a recruiter could be every bit as good as, or better than, graduates of the ‘right’ schools,” observes Loren Larsen, chief technology officer at A.I. firm HireVue, which lists IntelOracle, Dow Jones, Dunkin’ Brands, and many others among its clients.

In the old days, says Larsen, this student wouldn’t have gotten a second sniff, let alone a first. But by sourcing the leads with A.I., and using modern tools like video chatting, you can reach them with ease. “This way, a lot more people are let into the system on their merits, so you get to ‘meet’ and assess a much more diverse group of candidates,” adds Larsen.

A.I. has an eye for talent—and skill sets

Resumes are nice, but “if you focus on what it says on someone’s resume, you risk overlooking huge numbers of people,” says Irinia Novoselsky, CEO of CareerBuilder, whose top leadership is now 70% women and minorities—up from 40% when Novoselsky joined in 2017.

The site uses A.I. to help employers and job hunters find the best match, with a database that includes more than 2.3 million job postings, 10 million job titles, and 1.3 billion skills. The algorithms zero in on exactly what skills a job requires, and find promising candidates who have them—but who may, based on their background, be applying for a different job altogether.

“Someone’s resume headline or most recent role may not necessarily translate into what else they can do,” says Novoselsky. Customer service reps need, for instance, patience and problem-solving ability, and “we’ve found that home health care workers share those skills. Without A.I., making those matches would have been impossible.”

A strict focus on skills “naturally leads to more diversity, because the hiring criteria are exactly the same for each and every candidate, regardless of sex, race, ethnicity, age, or anything else. A.I. strips out all that extraneous stuff,” says Loren Larsen at HireVue. Reams of research confirm that so-called structured interviews, where interviewers ask precisely the same questions of each candidate and look for precisely the same checklist of answers, work best at eliminating unconscious biases.

The catch is, human interviewers rarely do them. “We get bored, or we’re distracted, or we have a toothache,” Larsen notes. “A.I. never does.”

A.I. can correct its own biases

People can’t help bringing their own experiences, assumptions, and preferences with them to work in the morning, and some of those quirks—especially when they lurk in the subconscious—are notoriously slow to change. By contrast, even the smartest machines (at least so far) can learn and apply only what programmers install in them. That can include an emphasis on welcoming the best-qualified candidates of all ages, sexes, and colors.

“Humans often can’t fully explain their decisions, because they’re going partly on ‘gut feel,'” says Larsen. “But with algorithms, we can pinpoint exactly where an unintentional bias has sneaked in.”

At one client company, HireVue’s team tried out an algorithm that turned out to be biased toward job applicants with deep voices so that, in preliminary testing, it kept selecting men over women who were just as qualified. Meanwhile, other, earlier A.I. systems have drawn fire for favoring light skin tones over darker ones in video interviews.

Larsen says programmers have learned to spot—and fix—that sort of thing, adding that “data-driven technology gives us the chance to keep getting more fair in ways that weren’t possible before.”

That’s not to say that A.I. can ever push human resource professionals and hiring managers to the sidelines. The tasks of managing company policy on inclusion, building great relationships with promising candidates, and making sure that A.I. is doing its job can only be done by people.

As Aleksandra Mojsilovic at IBM puts it, “All the research shows that humans and A.I., working together, are far more effective than either alone.”

Source: Fortune

Whether you are an animal or not, you cannot deny the fact that stray dogs and their increasing population is a critical issue in India. Rabies is a fatal disease and it can be transmitted to humans. Even though almost all warm-blooded animals can get and transmit this disease, dogs are the most common carrier. And today, the problem is becoming serious day by day, and abandonment and lack of sterilization are the major reasons.

In order to cope with the problem, a 12th-grade student of National Public School in Indiranagar, Bangalore,  Aparna Ajit Gupte came with a solution for the vaccination attempts by civic authorities. Aparna built an AI system that uses neural networks to recognize & track stray dogs that needs vaccination. The 12th-grade student came with the idea when she saw a void in the vaccination attempts and she felt that it could be made more efficient if they had some sort of recording system.


Talking about how she made that tool work, Aparna first obtained pre-trained neural networks that are capable of identifying dogs in images extracted from video recordings. Then she came with algorithms for face recognition and modified them to detect unique markings and features of the dogs. Once that is done, she just had to classify them.

Furthermore, Aparna tested her system and she successfully achieves 92 per cent of accuracy when she was identifying different dogs in a locality in Bangalore. The tool was developed in such a way by the young girl that, all you have to do is keep updating the data with images of dogs that are already being vaccinated.

That is not all, she always believes that this entire process can be automated if we use images from CCTV cameras on the streets. This would save a significant amount of time updating the images and would make the process more efficient.  

Source: AnalyticsIndiaMag 

Artificial Intelligence (AI) is expected to more than double the rate of innovation and employee productivity in India by 2021, said a new Microsoft-IDC study on Monday. While only one-third of organisations in India have embarked on their AI journeys, those companies that have adopted this technology expect it to increase their competitiveness by 2.3 times in 2021, said the study that surveyed 200 business leaders and 202 workers in the country.

How will AI help in increasing business leader in India?

"Economies and businesses that have yet to embark on their AI journey run a real risk of missing out on the competitive benefits that are enjoyed by leaders," said Rohini Srivathsa, National Technology Officer, Microsoft India.


According to the findings, India needs to build upon its investment, data and strategy in order to accelerate its AI journey. The study also underlined the need for cultural changes and skilling and re-skilling workforces to make AI work for the country.

The rise of AI means that there was a necessity for workers to re-skill and upskill to remain relevant and play a part in the workforce of tomorrow, Srivathsa said.

Why AI is a necessity today?

"The jobs of today will not be the jobs of tomorrow, and we have already seen demand for software engineering roles expand rapidly beyond just the tech sector," Srivathsa added.

To help developers and organisations build expertise in Cloud computing, data sciences, AI and Internet of Things (IoT), Microsoft on Monday also announced the roll out of the "Week of AI", a specially curated five-day workshop series.

The session will be addressed by data scientists and AI experts from companies such as Flipkart, Reliance Jio and InMobi that are leading the way in transforming their businesses and the industry with technology, Microsoft said.

To meet the AI skills required by business leaders, Microsoft had announced the launch of its AI Business School earlier this year.

Source: IndiaToday

Typically, agency work requires a creative mind and approach. At first glance, artificial intelligence (AI), which removes the human element from certain processes, may not seem like the best fit for this industry. However, when combined with human creativity, AI and automation can make an agency team more efficient—if applied the right way.

We asked a panel of Forbes Agency Council members how AI can help in their field. Their best answers are below.

Members of Forbes Agency Council share ways artificial intelligence and automation can boost an agency's productivity.

Members of Forbes Agency Council share ways artificial intelligence and automation can boost an agency's productivity.


1. Better Lead Generation

AI has arrived and it’s already making a big difference for our agency and our clients. For example, using AI-driven automated attendants, businesses can boost efficiency and improve digital lead quality. In addition, when used in combination with high-quality business contact data, AI accelerates workflows related to complex business-to-business sales cycles and marketing processes. - Paula ChiocchiOutward Media, Inc.

2. Data-Driven Client Opportunities

Artificial intelligence can pull and analyze data much faster than our team ever could on its own, and it has the ability to learn from that data to make future searches more directed and relevant. Our agency utilizes AI to look at market comparisons for our clients and make sure that we aren’t missing any exposure opportunities that we might not have found via our own research. - Meredith XavierThe Ligné Group

3. Superior Market Segmentation

AI and automation in marketing are already helping businesses deliver impressive results. And in the near future, I think it will enable companies to create next-level segmentation and craft ideally tailored prospecting strategies. It will also minimize human input, which will significantly save lots of resources. - Solomon ThimothyOneIMS

4. Improved Resource Management

The more logical the job, the easier it is for us to delegate it to AI. A great example of this is resource management. These tasks are ideal for AI, letting team members focus efforts on nonlinear creative tasks that can’t be done by an algorithm. I think we’ll find more and more repetitive tasks being done by AI, and the more accurate the information we give it, the better the results will be. - Benjamin CollinsLaughing Samurai

5. Larger-Picture Trends

At its very basic state, people look to remarket to consumers, and the way they do it is creepy—“We saw you looking.” With AI, you can now look at the larger picture and establish trends for what creative to show a consumer when. For example, why not offer them a discount prior to them visiting your site rather than after? AI can help you understand the trends and match messaging to audiences. - Michael HubbardMedia Two Interactive

6. Sentiment Analysis

AI is already a valuable tool in advanced public relations reporting, but I’m excited to see how new advances can help with things like sentiment analysis. It’s a key factor in assessing engagement and customer or media perception, but algorithms today aren’t great at picking up on contextual clues. - Kathleen LucenteRed Fan Communications

7. Quick Responses To Common Questions

I was moved by a recent article on the new editor at Elle magazine. They have a Slack channel that answers questions using AI. It allows their staff to be much more data-driven in decision-making and even in content creation. This is a model for how every creative endeavor can benefit from on-the-spot answers and fearless questioning. - Dan CohenFull Court Press Communications

8. Reduced Manual Work

As automation tech continues to progress, humans will be forced to focus more on doing innovative work that matters. It will mean that marketers and agency owners like us will get more and more freedom to focus on innovation through “knowledge work” rather than the act of being busy through “manual work.” Humans are better at complex problem-solving, while machines are better at simple tasks. - Adam GuildPlacepull

9. Solid Proof Points For Creative Decisions

Designing a piece of creative involves key decisions, from the words we use to the images we place to the layouts we pursue. AI can be effective in augmenting these decisions. Consider the volume of data each campaign generates, from views to engagements to conversions. Now consider using this data to build a predictive ability that can guide creative decisions. AI brings science to our art. - Andrew AuIntercept Group

10. Automated Marketing Campaign Funding

We built machine learning into our in-house analytics platform to identify what campaigns are converting over others with specific acquisition cost goals. The AI then automatically reallocates funds from the campaigns that are failing to those campaigns that are netting the strongest return, while also updating audiences in real time, so our clients’ ad spend is never wasted on underperforming ads. - Josh SampleDrive Social Media Saint Louis

11. De-Siloing Marketing And Sales

Agency sales and marketing departments work closely to bring in new clients, but their perspectives and goals on how to achieve this success often differ. Current marketplace AI solutions can bridge the divide between attracting leads and moving them through the funnel with automated data capture and pattern identification. The result? It’s easier to identify quality leads and build nurture flows. - David KilimnikHero Digital

12. Customer-Service Chatbots

Live chat is a great way to engage visitors to your website, but many companies—particularly small businesses—are scared to deploy it because they don’t think they can adequately staff this function. Chatbots are a compelling way to use AI to provide quick answers to prospects who don’t want to wait 24 hours or more for an email response. - Scott BaradellIdea Grove

13. Search-Centric Content Creation

It’s all about search right now. AI can help make search more usable and conversational for people, which in turn will get them better search results. However, this makes content—meeting buyer personas where they’re at and answering their questions—even more important. AI will force us to be more customer-centric in the content we put out. - Sarah MannoneTrekk

Source: Forbes

Artificial intelligence technology is driving advancements in every industry, but there’s so much hype that it can be hard to pinpoint which businesses are really using it in transformative ways. That’s why we’re putting together a list of promising startups at the forefront of the field.

Is AI at the heart of what your company does, versus the driver of an auxiliary business or way to improve one of your existing products? We want to hear from you.

Nominations are now open for the inaugural Forbes AI list, which seeks to highlight private companies that are applying artificial intelligence to solve problems in innovative ways.

Forbes, in partnership with Meritech Capital, will evaluate hundreds of companies based on metrics like revenue, growth, and valuation, with a panel of experts weighing in on how innovative and mission-critical each company’s use of AI is (versus buzzwords thrown onto a slide-deck).


We welcome any U.S.-based private company to apply by filling out this form by Friday, June 28. The number of nominations won’t influence our selection, so stick to one per company, please.

We look forward to hearing from you!


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