Author: Christopher Roberts

Christopher's Author Bio: Founder and editor of Technology Bloggers, Christopher is passionate about sustainable technology and environmental initiatives. He wants to popularise critical thinking, promote responsible innovation, and excite you about the world around us.

How to use AI to prepare for a job interview

1 Reply Christopher Roberts

AI isn’t just for big organisations, there are many ways you can use AI tools to help improve your speed and effectiveness at completing everyday tasks too.

One example is to help you prepare for a job interview. It can be difficult to know how to spend your time effectively, so why not enlist the help of an AI chatbot like Bard or ChatGPT to come up with ideas, and better still, get it to do some of the work for you?

Job Spec

Where to start? First, try feeding ChatGPT the job description you’ve been given, and ask it to suggest how you should approach interview prep. Here are a few examples of prompts to try:

Prompt 1

I've got an interview for the attached role, could you give me a 50 word summary of how you'd advise I prepare?

If you can’t upload documents, just copy the text after the prompt instead.

Prompt 2

I need to prep for an interview tomorrow. I only have 20 mins. Please read the background info doc (attached) and give me a list of 5-10 bullet points walking me through how to use the 20 minutes to get ready. The list should take me no more than 3 minutes to read.

The more specific you are on your requirements, the better the answer will be. For example, you could ask for it to answer in a numbered list, or to display it in a table. You could ask for it to be no more than 50 words, or for it to be written so that it could be easily understood by a five year old.

Prompt 3

Help! I've got an interview and I'm really out of practice. Could you read the job spec and give me some pointers on what I should be doing?

Sometimes being more creative with your prompt can lead to a more interesting response from the AI.

An example conversation you could have with ChatGPT

Gather More Info

Don’t forget, if you don’t get the response you want, or you need more information, try using follow-up prompts. For example, if it tells you to check out the organisation’s website, ask it to do the legwork for you, here are some examples of how you can ask that.

Follow-up prompt 1

That's great, thanks. Here's the library's website, could you read it and provide me a consise summary that I can use to quickly get up to speed before my interview? www.example-library.org/about

Follow-up prompt 2

I don't know if they have a website actually. Could you search the web and see if you can find one? If they don't, how would you suggest I research the libary more, in the most time effective way, given I've only got 20 minutes to prepair?

Most AI chatbots are designed to understand natural language, so write back as though you were talking to a person. Good spelling and grammar will help you get a better response the first time around, but don’t be afraid to be creative with the instructions you use.

Caution: be mindful not to share personal information with an AI chatbot. If you wouldn’t tell something to a random stranger, don’t type (or paste) it into a chatbot either.

Questions

In any interview, you’re going to be asked questions, so why not practice with the help of AI?

Question prompt 1

I haven't interviewed for this sort of position before, could you give me a list of 5 questions that you think I could be asked, based on the job description?

Question prompt 2

Let's role play the interview, you ask me a question the interviewer is likely to ask, and I'll type my reply. You can then give me feedback on my answer and tips to improve.

Question prompt 3

Could you provide a list of the 5 most common interview questions and 2-3 bullets on how to answer them?

It’s also a good idea to turn up with a few questions of your own. You can ask the AI to help you format these, or if you’re running short of ideas, ask it to give you some suggestions!

Follow-up questions prompt

What questions could I ask the interviewer to help them see I'm interested in the role and want to work for this organisation?

Sharing Ideas

Do you have any tips on how to use ChatGPT to prepare for an interview? Why not help others too, by sharing your prompt ideas below.

If you’re early to this post and the comments section is a little empty, why not ask Bard to come up with some ideas for you instead!

Asking Bard how to prompt ChatGPT to get ready for a job interview

The Future of Work: Preparing for AI

2 Replies Christopher Roberts

This is the first in a new series on AI – Artificial Intelligence.

Artificial intelligence is rapidly changing the way we work, bringing about new opportunities and challenges. In this article, we’ll explore how we can prepare for the changes ahead.

Efficiency

AI is being increasingly used to automate tasks and processes in the workplace. By taking on mundane and repetitive tasks, AI can free up employees to focus on more complex and creative work. For example, AI can automate data entry and analysis, freeing up time for employees to focus on strategy and decision-making. This can lead to increased efficiency, productivity, and profitability for organisations.

An AI future - an image generated by DALL·E

AI can also support decision-making processes by providing real-time data and insights. This can help businesses to make better decisions faster and more accurately, improving their competitive edge. AI can also help to identify patterns and trends in large datasets, providing valuable insights that can be used to inform strategy and decision-making.

Ethics

While AI can bring about many benefits in the workplace, it’s important to consider the ethical implications of its use. One key concern is the potential impact on employment. As AI becomes more advanced, it’s likely that it will replace some jobs that are currently done by humans. This could lead to job losses, particularly in industries that rely heavily on manual labor or routine tasks.

Another concern is bias. AI systems are only as unbiased as the data they are trained on. If this data is biased, the AI system will be biased too. This can lead to discrimination and inequality in the workplace. It’s important to ensure that AI systems are trained on diverse and representative data to avoid bias.

Preparing for the Future

To prepare for the future of work in the age of AI, it’s important to focus on skills that cannot be automated. These include creativity, problem-solving, and emotional intelligence. By focusing on developing these skills, employees can enhance their value in the workplace and prepare for the changes ahead.

An AI minimalist future - an image generated by DALL·E

It’s also important to consider the ethical implications of AI use. Organisations should prioritise diversity and representation in their data and AI systems to avoid bias. They should also provide training and support to employees who may be affected by the introduction of AI.

Conclusion

AI is going to take bloggers jobs!!! The content of this post was written entirely by the AI ChatGPT, based on a few prompts I gave it. All I’ve done is add this conclusion and the opening lines. Oh, and the images were generated by DALL·E – completely new images, generated specifically for this post.

How?

I’ll share that and more in future posts.

Is the pandemic over?

Leave a reply Christopher Roberts

England’s approach to COVID restrictions this January is very different to last January. It’s also worlds away from how European neighbours are reacting.

Many countries are now imposing tighter travel restrictions, and implementing lockdowns, while England (and to some degree the UK) is moving in the opposite direction.

For example, the “red list” of countries has been scrapped, as has the need to get a pre-departure test when travelling. Isolation periods have also been reduced and were masks not mandatory in indoor public spaces, you could be mistaken for thinking the pandemic was over.

England’s libertarian approach comes as the country’s infection rates hit an all time high. One in 15 people in the UK had COVID in the last week of December. Not since the pandemic started, or in the last year, in the last week! 🤯

So why is the UK making these decisions?

Do the statistics offer any justification for these changes?

Last year I posted several articles looking at the UK’s COVID-19 data and exploring the effectiveness of vaccination. Things have changed a lot since, so here’s an update.

UK COVID-19 Stats

The UK is now 90% vaccinated. Nine in 10 people aged 12 and over have had at least one dose of a COVID-19 vaccine. Around 80% are “fully vaccinated” having had two doses, and around 60% have also had a booster (or third) jab. 💉

While hospitalisations started to rise quite rapidly at the end of the December, they’re also still nowhere near to the 40k numbers we saw last January.

Why is this?

There are many reasons, but the two biggest seem to be: Vaccinations and Omicron.

Vaccinations

Vaccination has undoubtedly helped to weaken the link between infections and deaths. Despite there being around 3 million more infections in December 2021 than January 2021, there were around 30k fewer COVID related deaths.

This chart shows that link between cases and deaths.

December 2021 COVID-19 cases aligned to deaths

You can see last year in weeks 44 and 45 (January 2021) cases and deaths hit their peak – I’ve used this as the baseline maximum, 100%. Until week ~60 (May 2021) cases and deaths were fairly well aligned, cases went up, deaths went up. However that link has been slowly weakening. Since May 2021, cases have risen and fallen, with deaths hardly moving, and that’s in no small part thanks to vaccinations. By May 2021, around 1 in 3 people were fully vaccinated and 2 in 3 had had at least one dose.

In week 95 (the last full week I have data for) deaths were around 11% of January 2021 levels, while cases were almost 190%. The virus no longer has the same ability to kill as it once did.

N.B. Cases shown aren’t positive tests, but the ONS infection study estimates. Deaths are those within 28 days of a positive test, by date of death. Deaths have been moved forward by one week, to better align them to cases.

Omicron

The other contributing factor is Omicron. In the last month, UK COVID cases have been rising exceedingly fast. This is in part due to the more infectious Omicron strain of the virus.

5th of January 2022 COVID-19 variants by countryAt the start of December 2021, around 1% of UK cases were the Omicron variant, with Delta making up the vast majority of all cases. Last week, 96% of all cases were Omicron. That’s insane growth! Omicron took over as the dominant strain in around 2 weeks, almost wiping Delta infections out in the space of a month.

You can explore this more with this fantastic tool by Our World In Data – the University of Oxford.

Omicron appears to be easier to spread, more dominant, but less deadly. The levels of Omicron in the UK are surely also helping to keep deaths low – compared with if all cases were the Delta strain.

Do the statistics justify fewer restrictions?

So do the statistics give us confidence that England’s approach at the moment is well founded? To a degree, yes. It’s unclear if the decisions have been made based on science, or politics, but so far at least, England’s libertarian approach looks like it offers a good balance between freedom, autonomy and safety.

The more cases there are, the greater the risk of mutation. That could be seen as a concern, but mutation lead to Omicron defeating Delta, which (so far) hasn’t turned out to be a bad thing.

Is the COVID-19 pandemic over?

With more global cases than ever before, it’s undeniable that COVID-19 is still very much a pandemic. But, if we’re able to live with the virus in general circulation, without mass deaths or hospitalisations (just like we do with flu each winter) there is hope, that we may be nearing the beginning of the end of the period where COVID ruled our lives.

Live in hope. ☺️