4 AI trends for 2022: Neural networks, strategic ethics, better hiring and gastronomy

In 2022, we will count on AI to increase its attain into robotic automation, higher software program for decision-making and a confrontation of the looming moral points, in response to Sony consultants.

Robot serving a meal concept

Illustration: Lisa Hornung/kirill_makarov/Shutterstock

Three consultants from Sony AI America gathered to debate the way forward for synthetic intelligence and what Sony sees coming in 2022. Whereas some appear to be a pure evolution for AI as extra firms undertake it, others may deal with among the points we’re going through, because the struggle on COVID wages on.

SEE: Metaverse cheat sheet: Every little thing it’s good to know (free PDF) (TechRepublic)

Gathered to debate AI developments have been: Michael Spranger, COO, of the Sony synthetic intelligence crew; Alice Xiang, head of AI Ethics Workplace (Sony Group Company) and senior analysis scientist, AI ethics lead; and Peter Stone, govt director of Sony AI America. This is what they imagine will occur in 2022.

1. AI in gastronomy

AI may nicely change the best way we conceptualize, create and revel in meals.

“AI and robotics current thrilling new alternatives for the meals and beverage trade, the place firms are actively exploring the usage of these new applied sciences in all elements of their operations,” Spranger mentioned. “A number of the most enjoyable functions of AI in gastronomy are on the artistic aspect, the place AI is getting used to additional improve the creativeness and creativity of cooks and culinary consultants past what is feasible right this moment. A few of these AI functions will quickly help cooks in things like enhancing the sensory experiences of cooking and consuming, creating more healthy and extra sustainable recipes and automating and scaling meals preparation. These advances will change the best way cooks create meals combos, pairings and platings and can help cooks of their technique of creating new, unique recipes which might be additionally wholesome and help sustainability for the atmosphere.”

I’ll add to that breakthrough improvements in meals serving and preparation robotics, reminiscent of Flippy, a robotic that flips burgers, together with the numerous self-service kiosks at McDonalds and different eating places.

This AI-propelled automation helps to alleviate labor shortages that have been created by the COVID pandemic. The automation additionally retains meals freer from human contact, a supply of germ transmission.

2. Higher hiring practices

Nearly each firm within the COVID period is going through labor shortages that they might assist to alleviate in the event that they broadened the lens for people whom they think about for employment. AI will help to increase this lens for employers as they have a look at a extra various discipline of job candidates.

“It is necessary for any expertise that impacts human life to be created from a variety of voices,” Spranger mentioned. “Traditionally, AI has been pushed ahead with out the participation of individuals from completely different backgrounds, inflicting penalties for underrepresented communities. Range is essential to stop hurt and allow innovation … . One dimension we have to pay shut consideration to when increasing our groups is to ensure we rent individuals from completely different disciplines–together with the humanities, social sciences, philosophy, and many others. AI can not achieve fulfilling its promise for humanity with out enter from the breadth of human expertise.”

3. AI ethics as a strategic crucial

“Lately, we’ve got seen an explosion of AI applied sciences deployed in all kinds of various industries—the whole lot from leisure to healthcare to training to legislation enforcement,” Xiang mentioned. “Whereas many of those applied sciences have been very helpful for society, this progress has additionally elevated consciousness of potential dangers and harms. Consequently, we have began to see a a lot greater highlight on AI ethics over the previous few years, and this development will speed up within the coming 12 months.”

SEE: Synthetic Intelligence Ethics Coverage (TechRepublic Premium)

Xiang believes it’s going to now not be sufficient for expertise firms to only have good intentions. We’re already seeing that with people and governments combating again in opposition to social media and facial recognition.

“There will probably be emphasis on equity, transparency and accountability in AI, and rising strain from regulators and the general public for firms to operationalize these ideas,” Xiang mentioned. “Firms which have built-in moral AI into their processes from the beginning will understand essentially the most success because the trade locations an increasing number of significance on these points.”

4. The expansion of neural networks that assist robots suppose

“We are actually seeing elevated curiosity in understanding the constraints of neural networks and integrating them with different tried and true AI algorithms,” Stone mentioned. 

Neuro-symbolic networks assist robots motive like people and have the flexibility to increase the scope of robotic duties into considering ones.

“I am optimistic that analysis on this path will probably be notably helpful for advances in general-purpose service robots able to sturdy notion, communication in pure language, activity and movement planning for object manipulation, and pure human-robot interplay,” Stone mentioned. 

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