Recommendations for exploring AI – Closing Remarks at AIBE Conference

Our co-founder, Tabitha Goldstaub, had the opportunity to address the AI in Business and Entrepreneurship (AIBE) Summit. She presented a summary of what was discussed by the speakers and then preceded to outline her tips and ticks for exploring AI beyond the summit.

The world of AI is exciting and constantly changing. Read out summary below and check out the slide show for tips and tricks and lists of books, events and courses.  

[slideshare id=71860623&doc=gettingintoai-eventslides1-170207125339&w=800&h=450]

Join the CognitionX community to stay on top of this ever-changing climate.


Outline of AIBE Summit

1) Dr. Stefanos Zafeiriou (Imperial)
– the history / ups and downs of AI since the 70s

2) Dr. Stephen Cave (Cambridge/Leverhulme Centre for the Future of Intelligence)
– AI should enhance humans not replace them
– We should innovate responsibly and find ways to trust AI

3) Ed Newton-Rex (Jukedeck)
– Creativity lives on!
– AI will make a significant contribution to the development of art

4) Dr. Carsten Sorensen (LSE)
– AI will have a tremendous impact on business
– With the proliferation of data, privacy will be redefined

5) Calum Chace (author)
– AI is collar-blind (white-collar, blue collar) and will have an impact on all spheres/aspects of work

6) Hugo Pinto (IBM)
– IBM believe AI will augment people to do a better job
– Questioning how learning will become better as information becomes more readily available / at the click of a button

7) Dr. Daniel Hulme (Satalia/UCL)
– AI and humans can work together to solve problems. Neither humans or AI are good at solving the many exponential problems out there but they may be better doing it together.


 The Tips and Tricks for Getting Involved in AI

Data scientists can come from anywhere. You don’t need to complete a course or a degree entitled “Data Science” in order to get a job as a data scientist. The recipe for success is much more varied and complex. In order to succeed it is important that you love what you are doing, are adaptable and curious, like asking questions, feel comfortable with failure, and know when to stop.

Prepare Yourself

If you want to familiarise yourself with the world of AI or want to become more knowledgable, there are a host of opportunities in London and beyond that you can get involved with. Whether it is the many events CognitionX organises, a panel taking place at the Royal Society (22 March) about robots taking over humans’ jobs or the countless London Data Science meetups, you will be able to find something which fits your interest and your schedule. Thankfully, many AI-related events are recorded or live streamed, so you do not need to travel the globe to hear from some of the brightest minds in the industry.

If you gravitate more towards written sources, there are countless newsletters and books which you can read to keep up to date with the changing climate of AI. CognitionX daily/weekly newsletter, O’Reilly AI newsletter, and Deep Learning Weekly are just a few examples of sources which can enrich your knowledge. You more into reading books? Check out Nick Bostrom’s Superintelligence or The Cambridge Handbook of Artificial Intelligence, just to name a couple. You prefer online courses and communities? Check out Udacity, Coursera, and even Youtube to educate yourself from AI leaders and community members. Tackle one of the competitions on Kaggle to test your skills.

If you want work with AI, you should start by thinking about the impact of AI on society and its ethical implications. Will AI take over? What should an autonomous vehicle do if faced with the choice to kill the person in the car or a crowd of people? It is not necessary to come to a definite conclusion, but considering these quandaries helps to appreciate the vast impact of AI.

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